Data Science & Analytics
Bioinformatics Singlecell
name: bioinformatics-singlecell description: "Advanced single-cell multi-omics analysis including scRNA-seq, scCITE-seq, scATAC-seq, and TARGET-seq. Use when analyzing single-cell data, cell type identification, trajectory analysis, differential expression, UMAP/clustering, integrating protein and RNA modalities (TotalVI), or working with Scanpy, Seurat, scvi-tools. Includes workflows for MPN, hematologic malignancies, megakaryocyte biology." license: Proprietary
- Publisher / source
- FreedomIntelligence/OpenClaw-Medical-Skills (found on GitHub top repositories)
- Upstream record
- FreedomIntelligence/OpenClaw-Medical-Skills
- Version
- Version 1
- Published
- Publication review
- Approved for publication · recorded passed scan 2026-11-06
- Content fingerprint
898cda9eccfd5e335dfb09c2fcb3437430f88e8193a098f304df01115595d2b0