Datasets:
Download modules/manifest.json from Xu-AI4Science/occupancyflow-data: direct link, hf CLI and curl.
- Browser
- Download file 3.14 kB
-
https://huggingface.co/datasets/Xu-AI4Science/occupancyflow-data/resolve/main/modules/manifest.json
- Command line
-
hf download hf://datasets/Xu-AI4Science/occupancyflow-data/modules/manifest.json
-
curl -L -o manifest.json https://huggingface.co/datasets/Xu-AI4Science/occupancyflow-data/resolve/main/modules/manifest.json
3.14 kB
| { | |
| "source": "dense <Module>_largest_matrix.csv as received from the corresponding author", | |
| "dense_shape": [ | |
| 17350, | |
| 17350 | |
| ], | |
| "dense_values": [ | |
| "0.0", | |
| "1.0" | |
| ], | |
| "dense_line_ending": "CRLF", | |
| "rebuild": "python disease_modelling/module_matrix_sparse.py to-matrix <M>_edges.csv out.csv <ref dense or gene_order.txt>", | |
| "modules": { | |
| "Asthma": { | |
| "n_edges": 2366, | |
| "n_nodes": 785, | |
| "dense_md5": "b78d7fe5723d7d0baf02c71115e88190", | |
| "dense_bytes": 1204328966, | |
| "dense_gz": "modules/Asthma_largest_matrix.csv.gz", | |
| "edges": "modules/Asthma_edges.csv" | |
| }, | |
| "CAD": { | |
| "n_edges": 1949, | |
| "n_nodes": 751, | |
| "dense_md5": "11704578713f3817b037bf504b28960b", | |
| "dense_bytes": 1204328966, | |
| "dense_gz": "modules/CAD_largest_matrix.csv.gz", | |
| "edges": "modules/CAD_edges.csv" | |
| }, | |
| "COPD": { | |
| "n_edges": 806, | |
| "n_nodes": 352, | |
| "dense_md5": "f1ca0abf4fc8dc5ae43b0a3e1ef99aa3", | |
| "dense_bytes": 1204328966, | |
| "dense_gz": "modules/COPD_largest_matrix.csv.gz", | |
| "edges": "modules/COPD_edges.csv" | |
| }, | |
| "Fibrosis": { | |
| "n_edges": 2366, | |
| "n_nodes": 785, | |
| "dense_md5": "b78d7fe5723d7d0baf02c71115e88190", | |
| "dense_bytes": 1204328966, | |
| "dense_gz": "modules/Fibrosis_largest_matrix.csv.gz", | |
| "edges": "modules/Fibrosis_edges.csv" | |
| }, | |
| "HI2023": { | |
| "n_edges": 350950, | |
| "n_nodes": 17350, | |
| "dense_md5": "1d6140efdb58d8c383c799196cee07d1", | |
| "dense_bytes": 1204328966, | |
| "dense_gz": "modules/HI2023_largest_matrix.csv.gz", | |
| "edges": "modules/HI2023_edges.csv" | |
| }, | |
| "Inflammation": { | |
| "n_edges": 1711, | |
| "n_nodes": 523, | |
| "dense_md5": "0452bc09ad328e49146762806d5a5f4f", | |
| "dense_bytes": 1204328966, | |
| "dense_gz": "modules/Inflammation_largest_matrix.csv.gz", | |
| "edges": "modules/Inflammation_edges.csv" | |
| }, | |
| "PAH": { | |
| "n_edges": 741, | |
| "n_nodes": 287, | |
| "dense_md5": "cf0399f4331452865bd414ca3d3c0728", | |
| "dense_bytes": 1204328966, | |
| "dense_gz": "modules/PAH_largest_matrix.csv.gz", | |
| "edges": "modules/PAH_edges.csv" | |
| }, | |
| "Thrombosis": { | |
| "n_edges": 566, | |
| "n_nodes": 287, | |
| "dense_md5": "0b5102922c61568b22ed53cb2a009324", | |
| "dense_bytes": 1204328966, | |
| "dense_gz": "modules/Thrombosis_largest_matrix.csv.gz", | |
| "edges": "modules/Thrombosis_edges.csv" | |
| } | |
| }, | |
| "gene_order_file": "modules/gene_order.txt", | |
| "gene_order_md5": "53580290d9f126208b043da1bdb11a3e", | |
| "note": "Same content as disease_modelling/submission/data/modules/gene_lists/<M>.txt in the GitHub repo, which stores the pairs space-separated; COPD.txt carries a trailing '{}' edge-attribute column from nx.write_edgelist.", | |
| "warning": "Fibrosis_largest_matrix.csv is byte-identical to Asthma_largest_matrix.csv (md5 b78d7fe5...), so one of the two is a copy of the wrong file. HI2023 is the whole interactome (350,950 edges), not a disease module.", | |
| "use": "gunzip <M>_largest_matrix.csv.gz to get the exact file the analysis scripts read; the *_edges.csv are the same content as a sparse edge list." | |
| } |