Cell4Rare
Code to explore the cell types involved in rare disease phenotypes, using healthy single-cell RNA-seq reference atlases (Human Protein Atlas and Tabula Sapiens).
Basic Information
| Repository | https://github.com/JNovoaR/Cell4Rare |
| Documentation | |
| Main publication (DOI) | 10.1093/bib/bbag426 view |
| Contact email | |
| Authors/Maintainers | Florencio Pazos Cabaleiro, Mónica Chagoyen |
| Type of application | |
| Programming languages | Python |
| Keywords | Transcriptomics, Single-cell omics, Single-cell (scRNA-seq), Medicine |
Technical details
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Statistics
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| Citations (last 12 months) | <100 (~0 as of 15/10/2026) |
| Citations (since first release) | <100 (0 as of 15/10/2026) |
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