Data associated with "Cell Marker Accordion: interpretable single-cell and spatial omics annotation in health and disease"
Count matrices from MDS patient samples, generated using CellRanger v7.1.0, along with U2AF1 S34F mutation information from VarTrix v1.1.19, are available in the "MDS" folder. Publicly available scRNA-seq and spatial datasets used for benchmarking in this study are provided in the "published_datasets" folder. Supplementary information regarding these datasets can be found in Supplementary Data 4 of the paper.
Institutions
- University of Trento (IT)
- Yale Cancer Center (US)
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT)
- Yale University (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-24
- DOI
- https://doi.org/10.5281/zenodo.15241429
- Primary Topic
- Demographic Trends and Gender Preferences
- Type
- article
- Field-Weighted Citation Impact
- 0.00