statLens
Collection
a reliable and interpretable statistical intelligence • 3 items • Updated
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 10 new columns ({'HSCaged2', 'HSCaged1', 'HSCyoung2', 'HSCrhoai2', 'HSCyoung1', 'HSCaged3', 'gene_id', 'HSCrhoai3', 'HSCyoung3', 'HSCrhoai1'}) and 22 missing columns ({'title_short', 'strain', 'specimen', 'platform', 'age', 'instrument', 'condition', 'treatment', 'time', 'group', 'original_sample_id', 'organism', 'cell_type', 'batch', 'source_file', 'sample_description', 'assay', 'sample_id', 'tissue', 'src_batch', 'study_id', 'characteristics'}).
This happened while the csv dataset builder was generating data using
hf://datasets/omicseye/statLens-evaluation-data-example/GSE233985/omics_feature_matrix.tsv (at revision 83a2c591f39a52a4e141361b396d3a2ef52251a2), ['hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE233985/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE233985/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE244440/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE244440/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE267256/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE267256/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273740/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273740/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273742/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273742/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273744/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273744/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE275234/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE275234/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE278237/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE278237/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE278238/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE278238/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE296350/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE296350/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE296351/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE296351/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE303503/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE303503/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE304598_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE304598_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE304598_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE304598_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE306518/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE306518/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE309123/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE309123/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE309279/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE309279/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310845/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310845/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310856_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310856_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310856_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310856_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311068/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311068/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311364/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311364/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311365/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311365/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE312800/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE312800/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE313291/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE313291/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE315271/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE315271/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE315958/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE315958/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE316594/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE316594/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317276_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317276_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317276_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317276_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317337/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317337/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317628/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317628/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE318337/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE318337/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322523_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322523_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322523_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322523_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322686/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322686/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c3/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c3/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322773/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322773/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324273/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324273/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324475_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324475_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324475_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324475_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324927/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324927/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE325732/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE325732/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326178/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326178/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326337/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326337/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326625/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326625/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326789_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326789_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326789_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326789_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327232/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327232/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327245/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327245/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327790/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327790/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328094/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328094/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328387/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328387/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328831/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328831/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE333173/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE333173/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/tasks.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 784, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 795, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
gene_id: string
HSCaged1: int64
HSCaged2: int64
HSCaged3: int64
HSCrhoai1: int64
HSCrhoai2: int64
HSCrhoai3: int64
HSCyoung1: int64
HSCyoung2: int64
HSCyoung3: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1424
to
{'sample_id': Value('string'), 'group': Value('string'), 'time': Value('string'), 'batch': Value('string'), 'original_sample_id': Value('string'), 'study_id': Value('string'), 'organism': Value('string'), 'tissue': Value('string'), 'specimen': Value('string'), 'cell_type': Value('string'), 'treatment': Value('string'), 'age': Value('string'), 'src_batch': Value('string'), 'platform': Value('string'), 'assay': Value('string'), 'source_file': Value('string'), 'title_short': Value('string'), 'sample_description': Value('string'), 'instrument': Value('string'), 'strain': Value('string'), 'characteristics': Value('string'), 'condition': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 10 new columns ({'HSCaged2', 'HSCaged1', 'HSCyoung2', 'HSCrhoai2', 'HSCyoung1', 'HSCaged3', 'gene_id', 'HSCrhoai3', 'HSCyoung3', 'HSCrhoai1'}) and 22 missing columns ({'title_short', 'strain', 'specimen', 'platform', 'age', 'instrument', 'condition', 'treatment', 'time', 'group', 'original_sample_id', 'organism', 'cell_type', 'batch', 'source_file', 'sample_description', 'assay', 'sample_id', 'tissue', 'src_batch', 'study_id', 'characteristics'}).
This happened while the csv dataset builder was generating data using
hf://datasets/omicseye/statLens-evaluation-data-example/GSE233985/omics_feature_matrix.tsv (at revision 83a2c591f39a52a4e141361b396d3a2ef52251a2), ['hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE233985/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE233985/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE244440/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE244440/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE267256/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE267256/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273740/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273740/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273742/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273742/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273744/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273744/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE275234/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE275234/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE278237/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE278237/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE278238/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE278238/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE296350/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE296350/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE296351/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE296351/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE303503/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE303503/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE304598_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE304598_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE304598_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE304598_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE306518/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE306518/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE309123/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE309123/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE309279/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE309279/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310845/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310845/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310856_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310856_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310856_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310856_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311068/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311068/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311364/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311364/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311365/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311365/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE312800/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE312800/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE313291/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE313291/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE315271/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE315271/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE315958/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE315958/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE316594/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE316594/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317276_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317276_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317276_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317276_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317337/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317337/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317628/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317628/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE318337/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE318337/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322523_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322523_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322523_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322523_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322686/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322686/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c3/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c3/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322773/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322773/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324273/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324273/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324475_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324475_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324475_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324475_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324927/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324927/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE325732/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE325732/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326178/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326178/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326337/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326337/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326625/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326625/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326789_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326789_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326789_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326789_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327232/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327232/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327245/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327245/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327790/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327790/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328094/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328094/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328387/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328387/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328831/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328831/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE333173/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE333173/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/tasks.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
sample_id string | group string | time string | batch string | original_sample_id string | study_id string | organism string | tissue string | specimen string | cell_type string | treatment string | age string | src_batch string | platform string | assay string | source_file string | title_short string | sample_description string | instrument string | strain string | characteristics string | condition string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
HSCaged1 | control | >80 weeks old | 1 | RNA-Seq - HSC - aged control 1 | GSE233985 | Mus musculus | Bone marrow | Bone marrow | Hemtopoietic stem cells | control | >80 weeks old | 1 | GPL21626 | RNA-Seq | GSE233985_series_matrix.txt.gz | RNA-Seq - HSC - aged control 1 | HSCaged1 | NextSeq 550 | C57BL/6 | tissue=Bone marrow; strain=C57BL/6; cell type=Hemtopoietic stem cells; age=>80 weeks old; treatment=control; sequencing batch=1 | aged_control |
HSCaged2 | control | >80 weeks old | 2 | RNA-Seq - HSC - aged control 2 | GSE233985 | Mus musculus | Bone marrow | Bone marrow | Hemtopoietic stem cells | control | >80 weeks old | 2 | GPL21626 | RNA-Seq | GSE233985_series_matrix.txt.gz | RNA-Seq - HSC - aged control 2 | HSCaged2 | NextSeq 550 | C57BL/6 | tissue=Bone marrow; strain=C57BL/6; cell type=Hemtopoietic stem cells; age=>80 weeks old; treatment=control; sequencing batch=2 | aged_control |
HSCaged3 | control | >80 weeks old | 3 | RNA-Seq - HSC - aged control 3 | GSE233985 | Mus musculus | Bone marrow | Bone marrow | Hemtopoietic stem cells | control | >80 weeks old | 3 | GPL21626 | RNA-Seq | GSE233985_series_matrix.txt.gz | RNA-Seq - HSC - aged control 3 | HSCaged3 | NextSeq 550 | C57BL/6 | tissue=Bone marrow; strain=C57BL/6; cell type=Hemtopoietic stem cells; age=>80 weeks old; treatment=control; sequencing batch=3 | aged_control |
HSCrhoai1 | RhoA-inhibitor (Ri) treatment | >80 weeks old | 1 | RNA-Seq - HSC - aged + RhoA-inhibitor (Ri) 1 | GSE233985 | Mus musculus | Bone marrow | Bone marrow | Hemtopoietic stem cells | RhoA-inhibitor (Ri) treatment | >80 weeks old | 1 | GPL21626 | RNA-Seq | GSE233985_series_matrix.txt.gz | RNA-Seq - HSC - aged + RhoA-inhibitor (Ri) 1 | HSCrhoai1 | NextSeq 550 | C57BL/6 | tissue=Bone marrow; strain=C57BL/6; cell type=Hemtopoietic stem cells; age=>80 weeks old; treatment=RhoA-inhibitor (Ri) treatment; sequencing batch=1 | aged_Ri |
HSCrhoai2 | RhoA-inhibitor (Ri) treatment | >80 weeks old | 2 | RNA-Seq - HSC - aged + RhoA-inhibitor (Ri) 2 | GSE233985 | Mus musculus | Bone marrow | Bone marrow | Hemtopoietic stem cells | RhoA-inhibitor (Ri) treatment | >80 weeks old | 2 | GPL21626 | RNA-Seq | GSE233985_series_matrix.txt.gz | RNA-Seq - HSC - aged + RhoA-inhibitor (Ri) 2 | HSCrhoai2 | NextSeq 550 | C57BL/6 | tissue=Bone marrow; strain=C57BL/6; cell type=Hemtopoietic stem cells; age=>80 weeks old; treatment=RhoA-inhibitor (Ri) treatment; sequencing batch=2 | aged_Ri |
HSCrhoai3 | RhoA-inhibitor (Ri) treatment | >80 weeks old | 2 | RNA-Seq - HSC - aged + RhoA-inhibitor (Ri) 3 | GSE233985 | Mus musculus | Bone marrow | Bone marrow | Hemtopoietic stem cells | RhoA-inhibitor (Ri) treatment | >80 weeks old | 2 | GPL21626 | RNA-Seq | GSE233985_series_matrix.txt.gz | RNA-Seq - HSC - aged + RhoA-inhibitor (Ri) 3 | HSCrhoai3 | NextSeq 550 | C57BL/6 | tissue=Bone marrow; strain=C57BL/6; cell type=Hemtopoietic stem cells; age=>80 weeks old; treatment=RhoA-inhibitor (Ri) treatment; sequencing batch=2 | aged_Ri |
HSCyoung1 | control | 10-16 weeks old | 1+3 | RNA-Seq - HSC - young control 1 | GSE233985 | Mus musculus | Bone marrow | Bone marrow | Hemtopoietic stem cells | control | 10-16 weeks old | 1+3 | GPL21626 | RNA-Seq | GSE233985_series_matrix.txt.gz | RNA-Seq - HSC - young control 1 | HSCyoung1 | NextSeq 550 | C57BL/6 | tissue=Bone marrow; strain=C57BL/6; cell type=Hemtopoietic stem cells; age=10-16 weeks old; treatment=control; sequencing batch=1+3 | young_control |
HSCyoung2 | control | 10-16 weeks old | 2 | RNA-Seq - HSC - young control 2 | GSE233985 | Mus musculus | Bone marrow | Bone marrow | Hemtopoietic stem cells | control | 10-16 weeks old | 2 | GPL21626 | RNA-Seq | GSE233985_series_matrix.txt.gz | RNA-Seq - HSC - young control 2 | HSCyoung2 | NextSeq 550 | C57BL/6 | tissue=Bone marrow; strain=C57BL/6; cell type=Hemtopoietic stem cells; age=10-16 weeks old; treatment=control; sequencing batch=2 | young_control |
HSCyoung3 | control | 10-16 weeks old | 3 | RNA-Seq - HSC - young control 3 | GSE233985 | Mus musculus | Bone marrow | Bone marrow | Hemtopoietic stem cells | control | 10-16 weeks old | 3 | GPL21626 | RNA-Seq | GSE233985_series_matrix.txt.gz | RNA-Seq - HSC - young control 3 | HSCyoung3 | NextSeq 550 | C57BL/6 | tissue=Bone marrow; strain=C57BL/6; cell type=Hemtopoietic stem cells; age=10-16 weeks old; treatment=control; sequencing batch=3 | young_control |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
No dataset card yet