Archive 4 checkpoints (1-4)
Browse files- .gitattributes +1 -0
- paper-releases/pbisc-diffusion/updates/20261011T120708Z-manuscript-introduction-docx/diffusion/dataset/server_1/manuscript/editorial/reference_metadata/wang2019music.introduction_20261011.crossref.json +454 -0
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- paper-releases/pbisc-diffusion/updates/20261011T120708Z-manuscript-introduction-docx/diffusion/dataset/server_1/manuscript/main.pdf +3 -0
- paper-releases/pbisc-diffusion/updates/20261011T120708Z-manuscript-introduction-docx/diffusion/dataset/server_1/manuscript/references.bib +898 -0
.gitattributes
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"abstract": "<jats:p>When assessed over a large number of samples, bulk RNA sequencing provides reliable data for gene expression at the tissue level. Single-cell RNA sequencing (scRNA-seq) deepens those analyses by evaluating gene expression at the cellular level. Both data types lend insights into disease etiology. With current technologies, scRNA-seq data are known to be noisy. Constrained by costs, scRNA-seq data are typically generated from a relatively small number of subjects, which limits their utility for some analyses, such as identification of gene expression quantitative trait loci (eQTLs). To address these issues while maintaining the unique advantages of each data type, we develop a Bayesian method (bMIND) to integrate bulk and scRNA-seq data. With a prior derived from scRNA-seq data, we propose to estimate sample-level cell type–specific (CTS) expression from bulk expression data. The CTS expression enables large-scale sample-level downstream analyses, such as detection of CTS differentially expressed genes (DEGs) and eQTLs. Through simulations, we show that bMIND improves the accuracy of sample-level CTS expression estimates and increases the power to discover CTS DEGs when compared to existing methods. To further our understanding of two complex phenotypes, autism spectrum disorder and Alzheimer's disease, we apply bMIND to gene expression data of relevant brain tissue to identify CTS DEGs. Our results complement findings for CTS DEGs obtained from snRNA-seq studies, replicating certain DEGs in specific cell types while nominating other novel genes for those cell types. Finally, we calculate CTS eQTLs for 11 brain regions by analyzing Genotype-Tissue Expression Project data, creating a new resource for biological insights.</jats:p>",
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4,
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9
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"date-time": "2021-04-09T17:00:15Z",
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"timestamp": 1617987615000
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"source": "Crossref",
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"is-referenced-by-count": 95,
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"title": [
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"Bayesian estimation of cell type–specific gene expression with prior derived from single-cell data"
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"prefix": "10.1101",
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"volume": "31",
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"given": "Jiebiao",
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"sequence": "first",
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|
| 1467 |
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|
| 1468 |
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{
|
| 1469 |
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|
| 1470 |
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|
| 1471 |
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|
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|
| 1473 |
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|
| 1474 |
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|
| 1475 |
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|
| 1476 |
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|
| 1477 |
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|
| 1478 |
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|
| 1479 |
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"issn-type": [
|
| 1480 |
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{
|
| 1481 |
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"value": "1088-9051",
|
| 1482 |
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|
| 1483 |
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|
| 1484 |
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{
|
| 1485 |
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"value": "1549-5469",
|
| 1486 |
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"type": "electronic"
|
| 1487 |
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}
|
| 1488 |
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|
| 1489 |
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"subject": [],
|
| 1490 |
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|
| 1491 |
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"date-parts": [
|
| 1492 |
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[
|
| 1493 |
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2021,
|
| 1494 |
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4,
|
| 1495 |
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|
| 1496 |
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|
| 1497 |
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|
| 1498 |
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|
| 1499 |
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}
|
| 1500 |
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}
|
| 1501 |
+
}
|
paper-releases/pbisc-diffusion/updates/20261011T120708Z-manuscript-introduction-docx/diffusion/dataset/server_1/manuscript/main.pdf
ADDED
|
@@ -0,0 +1,3 @@
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:ba7bf086cd64bcf7b4269f4ee5e6f0c3eb01132f69fa258484c24ed0a03adfc9
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| 3 |
+
size 1464691
|
paper-releases/pbisc-diffusion/updates/20261011T120708Z-manuscript-introduction-docx/diffusion/dataset/server_1/manuscript/references.bib
ADDED
|
@@ -0,0 +1,898 @@
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| 1 |
+
% references.bib for the PBISC-Diffusion manuscript (rewrite of 2026-10-10; Introduction updated 2026-10-11).
|
| 2 |
+
% Includes references added for the supplied Introduction. Entries kept from the previous verified file are marked "Kept"
|
| 3 |
+
% and were re-checked against Crossref; all other entries are new and were checked against Crossref, Europe PMC, the
|
| 4 |
+
% PDFs in reference-papers/, or the official proceedings pages (PMLR, JMLR, NeurIPS, OpenReview via mlanthology.org).
|
| 5 |
+
% Conventions (sn-nature.bst):
|
| 6 |
+
% - Conference papers (NeurIPS, ICML, ICLR) are misc entries with the venue in howpublished, as in the previous
|
| 7 |
+
% verified file. The inproceedings type of sn-nature.bst never prints the booktitle and makes BibTeX report
|
| 8 |
+
% "You can't pop an empty literal stack" (tested with BibTeX 0.99d on 2026-10-10). booktitle, volume, pages and
|
| 9 |
+
% year are kept as fields, so these entries can become inproceedings if the style file is fixed.
|
| 10 |
+
% - arXiv-only works are misc entries with eprint and archivePrefix.
|
| 11 |
+
% - Journal articles print their url (sn-nature.bst does not print the doi field); every url is https://doi.org/.
|
| 12 |
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% - Non-ASCII letters are written as LaTeX accents; the file is plain ASCII.
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% New. Verified: Crossref; Europe PMC (PMID 32788292, also the PubMed ID of GEO GSE152418 and GSE155673); PDF
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% paired-cohorts/Arunachalam2020_Science_systems_immunity_mild_vs_severe_COVID19.pdf. Author 10 is written as in the
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% article byline (Owen Tak-Yin Tsang); Crossref and PubMed split it as Tak-Yin Tsang, O.
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| 227 |
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| 228 |
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| 230 |
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| 234 |
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}
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| 235 |
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| 236 |
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% New. Verified: Crossref; Europe PMC (PMID 40317333); PDF
|
| 237 |
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% paired-cohorts/Ji2025_CancerImmunolImmunother_checkpoint_inhibitor_liver_injury.pdf (same title as GEO GSE287540
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| 238 |
+
% and GSE287541).
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| 239 |
+
@article{ji2025chili,
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author = {Ji, Changhua and Kumpf, Steven and Qian, Jessie and Federspiel, Joel D. and Sheehan, Mark and Capunitan, Darien and Atallah, Edmond and Astbury, Stuart and Arat, Seda and Oziolor, Elias and Ocana, Mireia Fernandez and Ramaiah, Shashi K. and Grove, Jane and Aithal, Guruprasad P. and Lanz, Thomas A.},
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| 242 |
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| 243 |
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| 244 |
+
number = {6},
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| 245 |
+
pages = {190},
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| 246 |
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year = {2025},
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| 247 |
+
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| 248 |
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|
| 249 |
+
}
|
| 250 |
+
|
| 251 |
+
% New. Verified: PDF (PMLR 202, 2023) and proceedings.mlr.press/v202/khayatkhoei23a.html (pages 16326-16343).
|
| 252 |
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% Second author spelled as in the paper byline (AbdAlmageed); the PMLR BibTeX writes Abdalmageed.
|
| 253 |
+
@misc{khayatkhoei2023emergent,
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| 254 |
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howpublished = {In \emph{Proceedings of the 40th International Conference on Machine Learning}, Proceedings of Machine Learning Research \textbf{202}, 16326--16343 (PMLR)},
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| 256 |
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booktitle = {Proceedings of the 40th International Conference on Machine Learning},
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| 258 |
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series = {Proceedings of Machine Learning Research},
|
| 259 |
+
volume = {202},
|
| 260 |
+
pages = {16326--16343},
|
| 261 |
+
publisher = {PMLR},
|
| 262 |
+
year = {2023},
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| 263 |
+
url = {https://proceedings.mlr.press/v202/khayatkhoei23a.html}
|
| 264 |
+
}
|
| 265 |
+
|
| 266 |
+
% New. Verified: PDF (arXiv 1904.06991v3, "NeurIPS 2019") and the official proceedings.neurips.cc BibTeX (volume 32).
|
| 267 |
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% UNVERIFIED: kynkaanniemi2019improved page range (the official NeurIPS 2019 BibTeX has an empty pages field; none
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| 268 |
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% given)
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| 269 |
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@misc{kynkaanniemi2019improved,
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@article{law2014voom,
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% evaluation-metrics/Li2026_Systematic_comparison_sc_perturbation_response_prediction_models.pdf.
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% New. Verified: Crossref; Europe PMC (PMID 33713619, the PubMed ID of GEO GSE161918). Byline as in Europe PMC, with
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% the two collective authors; Crossref also lists ten consortium members. No PDF in reference-papers.
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@article{liu2021timeresolved,
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% Kept from the previous verified references.bib; re-checked against Crossref on 2026-10-10.
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% SJkXfE5xx).
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% New. Verified: arXiv 1711.05101 (comment "Published as a conference paper at ICLR 2019") and
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% mlanthology.org/iclr/2019 (OpenReview forum Bkg6RiCqY7).
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@misc{loshchilov2019decoupled,
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| 355 |
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% Kept from the previous verified references.bib; re-checked against Crossref on 2026-10-10.
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% identifier is now printed once, through eprint, instead of in both url and note. Checked against the arXiv API.
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@misc{mcinnes2018umap,
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| 388 |
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@misc{naeem2020reliable,
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| 406 |
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% rare-disease-states/Reyes2020_Immune_cell_signature_bacterial_sepsis.pdf (author manuscript).
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% rare-disease-states/Stephenson2021_Single_cell_multiomics_COVID19.pdf. The CITIID-NIHR collaboration is placed as
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% New. Verified: Crossref; Europe PMC (PMID 40532694); PDF
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% paired-cohorts/Stephenson2025_CellGenom_temporal_multiomics_COVID19_ESKD.pdf.
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% New. Verified: Crossref; Europe PMC (PMID 40854979); PDF
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% New. Verified: Crossref; Europe PMC (PMID 33491336; article e9620, which Crossref records as MSB20209620). No PDF in
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% reference-papers.
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% New. Verified: Crossref; Europe PMC (PMID 35727985, the PubMed ID of GEO GSE198533 and GSE198616); PDF
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% paired-cohorts/bechet_c1q.pdf. Replaces the earlier incomplete entry ("and others").
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| 695 |
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}
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| 697 |
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% Added by the coordinator on 2026-10-10 (introduction, bulk-to-cell models). Titles, authors, journal, volume and
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| 698 |
+
% article number checked against the PDFs in reference-papers/bulk-to-sc/ (first page and footer).
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+
@article{liao2022bulk2space,
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}
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@article{zeng2024omicverse,
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}
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@misc{cho2024bulk2sc,
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}
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% Added for the Introduction supplied on 2026-10-11; verified against Crossref DOI metadata.
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@article{wang2019music,
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% Added for the Introduction supplied on 2026-10-11; verified against Crossref DOI metadata.
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@article{jew2020bisque,
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author = {Jew, Brandon and Alvarez, Marcus and Rahmani, Elior and Miao, Zong and Ko, Arthur and Garske, Kristina M. and Sul, Jae Hoon and Pietil{\"a}inen, Kirsi H. and Pajukanta, P{\"a}ivi and Halperin, Eran},
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title = {{Accurate estimation of cell composition in bulk expression through robust integration of single-cell information}},
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journal = {Nature Communications},
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| 763 |
+
pages = {1971},
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| 764 |
+
year = {2020},
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+
doi = {10.1038/s41467-020-15816-6},
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| 766 |
+
url = {https://doi.org/10.1038/s41467-020-15816-6}
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| 767 |
+
}
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+
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% Added for the Introduction supplied on 2026-10-11; verified against Crossref DOI metadata.
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| 770 |
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@article{tsoucas2019dwls,
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| 771 |
+
author = {Tsoucas, Daphne and Dong, Rui and Chen, Haide and Zhu, Qian and Guo, Guoji and Yuan, Guo-Cheng},
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| 772 |
+
title = {{Accurate estimation of cell-type composition from gene expression data}},
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+
journal = {Nature Communications},
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+
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+
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| 777 |
+
year = {2019},
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+
doi = {10.1038/s41467-019-10802-z},
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| 779 |
+
url = {https://doi.org/10.1038/s41467-019-10802-z}
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| 780 |
+
}
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+
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+
% Added for the Introduction supplied on 2026-10-11; verified against Crossref DOI metadata.
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| 783 |
+
@article{menden2020scaden,
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| 784 |
+
author = {Menden, Kevin and Marouf, Matteo and Oller, Sergio and Dalmia, Anupriya and Magruder, Daniel Sumner and Kloiber, Karin and Heutink, Peter and Bonn, Stefan},
|
| 785 |
+
title = {{Deep learning--based cell composition analysis from tissue expression profiles}},
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+
journal = {Science Advances},
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+
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+
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doi = {10.1126/sciadv.aba2619},
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+
url = {https://doi.org/10.1126/sciadv.aba2619}
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+
}
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+
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% Added for the Introduction supplied on 2026-10-11; verified against Crossref DOI metadata.
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@article{chen2022tape,
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author = {Chen, Yanshuo and Wang, Yixuan and Chen, Yuelong and Cheng, Yuqi and Wei, Yumeng and Li, Yunxiang and Wang, Jiuming and Wei, Yingying and Chan, Ting-Fung and Li, Yu},
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title = {{Deep autoencoder for interpretable tissue-adaptive deconvolution and cell-type-specific gene analysis}},
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+
journal = {Nature Communications},
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+
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+
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| 802 |
+
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+
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+
doi = {10.1038/s41467-022-34550-9},
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| 805 |
+
url = {https://doi.org/10.1038/s41467-022-34550-9}
|
| 806 |
+
}
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+
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% Added for the Introduction supplied on 2026-10-11; verified against Crossref DOI metadata.
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| 809 |
+
@article{barbosa2021blade,
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+
author = {Andrade Barbosa, B{\'a}rbara and van Asten, Saskia D. and Oh, Ji Won and Farina-Sarasqueta, Arantza and Verheij, Joanne and Dijk, Frederike and van Laarhoven, Hanneke W. M. and Ylstra, Bauke and Garcia Vallejo, Juan J. and van de Wiel, Mark A. and Kim, Yongsoo},
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+
title = {{Bayesian log-normal deconvolution for enhanced in silico microdissection of bulk gene expression data}},
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+
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+
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+
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+
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+
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| 817 |
+
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| 818 |
+
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| 819 |
+
}
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+
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+
% Added for the Introduction supplied on 2026-10-11; verified against Crossref DOI metadata.
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| 822 |
+
@article{wang2021bmind,
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| 823 |
+
author = {Wang, Jiebiao and Roeder, Kathryn and Devlin, Bernie},
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+
title = {{Bayesian estimation of cell type--specific gene expression with prior derived from single-cell data}},
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+
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+
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+
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| 828 |
+
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+
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|
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+
doi = {10.1101/gr.268722.120},
|
| 831 |
+
url = {https://doi.org/10.1101/gr.268722.120}
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+
}
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+
|
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+
% Added for the Introduction supplied on 2026-10-11; verified against Crossref DOI metadata.
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+
@article{sturm2019evaluation,
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+
author = {Sturm, Gregor and Finotello, Francesca and Petitprez, Florent and Zhang, Jitao David and Baumbach, Jan and Fridman, Wolf H and List, Markus and Aneichyk, Tatsiana},
|
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+
title = {{Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology}},
|
| 838 |
+
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+
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+
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+
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+
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+
doi = {10.1093/bioinformatics/btz363},
|
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+
url = {https://doi.org/10.1093/bioinformatics/btz363}
|
| 845 |
+
}
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+
|
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+
% Added for the Introduction supplied on 2026-10-11; verified against Crossref DOI metadata.
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| 848 |
+
@article{dietrich2026omnideconv,
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+
author = {Dietrich, Alexander and Merotto, Lorenzo and Pelz, Konstantin and Eder, Bernhard and Zackl, Constantin and Reinisch, Katharina and Edenhofer, Frank and Marini, Federico and Sturm, Gregor and List, Markus and Finotello, Francesca},
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| 850 |
+
title = {{omnideconv: a unifying framework for using and benchmarking single-cell-informed deconvolution of bulk RNA-seq data}},
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+
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+
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+
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+
year = {2026},
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+
doi = {10.1186/s13059-026-03955-w},
|
| 857 |
+
url = {https://doi.org/10.1186/s13059-026-03955-w}
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+
}
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| 859 |
+
|
| 860 |
+
% Added for the Introduction supplied on 2026-10-11; verified against Crossref DOI metadata.
|
| 861 |
+
% Author order follows the publisher byline; consortium members are represented by their group author.
|
| 862 |
+
@article{community2024assessment,
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+
author = {White, Brian S. and de Reyni{\`e}s, Aur{\'e}lien and Newman, Aaron M. and Waterfall, Joshua J. and Lamb, Andrew and Petitprez, Florent and Lin, Yating and Yu, Rongshan and Guerrero-Gimenez, Martin E. and Domanskyi, Sergii and Monaco, Gianni and Chung, Verena and Banerjee, Jineta and Derrick, Daniel and Valdeolivas, Alberto and Li, Haojun and Xiao, Xu and Wang, Shun and Zheng, Frank and Yang, Wenxian and Catania, Carlos A. and Lang, Benjamin J. and Bertus, Thomas J. and Piermarocchi, Carlo and Caruso, Francesca P. and Ceccarelli, Michele and Yu, Thomas and Guo, Xindi and Bletz, Julie and Coller, John and Maecker, Holden and Duault, Caroline and Shokoohi, Vida and Patel, Shailja and Liliental, Joanna E. and Simon, Stockard and {Tumor Deconvolution DREAM Challenge consortium} and Saez-Rodriguez, Julio and Heiser, Laura M. and Guinney, Justin and Gentles, Andrew J.},
|
| 864 |
+
title = {{Community assessment of methods to deconvolve cellular composition from bulk gene expression}},
|
| 865 |
+
journal = {Nature Communications},
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| 866 |
+
volume = {15},
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| 867 |
+
number = {1},
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| 868 |
+
pages = {7362},
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| 869 |
+
year = {2024},
|
| 870 |
+
doi = {10.1038/s41467-024-50618-0},
|
| 871 |
+
url = {https://doi.org/10.1038/s41467-024-50618-0}
|
| 872 |
+
}
|
| 873 |
+
|
| 874 |
+
% Added for the Introduction supplied on 2026-10-11; verified against Crossref DOI metadata.
|
| 875 |
+
@article{scdiffusionx2026,
|
| 876 |
+
author = {Luo, Erpai and Wei, Lei and Hao, Minsheng and Zhang, Xuegong and Liu, Qiao},
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+
title = {{A multi-modal diffusion model with dual-cross-attention for multi-omics data generation and translation}},
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| 878 |
+
journal = {Nature Communications},
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| 879 |
+
volume = {17},
|
| 880 |
+
number = {1},
|
| 881 |
+
pages = {5196},
|
| 882 |
+
year = {2026},
|
| 883 |
+
doi = {10.1038/s41467-026-71744-x},
|
| 884 |
+
url = {https://doi.org/10.1038/s41467-026-71744-x}
|
| 885 |
+
}
|
| 886 |
+
|
| 887 |
+
% Added for the Introduction supplied on 2026-10-11; verified against Crossref DOI metadata.
|
| 888 |
+
@article{delafuente2025sweetwater,
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| 889 |
+
author = {de la Fuente, Jes{\'u}s and Legarra-Marcos, Naroa and Diaz-Mazkiaran, Aintzane and Serrano, Guillermo and Mar{\'i}n-Go{\~n}i, Irene and Sendin, Markel Benito and Osta, Ana Garc{\'i}a and Kalari, Krishna R and Fernandez-Granda, Carlos and Ochoa, Idoia and Hernaez, Mikel},
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| 890 |
+
title = {{An interpretable and adaptive autoencoder for efficient tissue deconvolution}},
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| 891 |
+
journal = {Nucleic Acids Research},
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| 892 |
+
volume = {53},
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| 893 |
+
number = {16},
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| 894 |
+
pages = {gkaf821},
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| 895 |
+
year = {2025},
|
| 896 |
+
doi = {10.1093/nar/gkaf821},
|
| 897 |
+
url = {https://doi.org/10.1093/nar/gkaf821}
|
| 898 |
+
}
|