scanpy-single-cell-analysis
Research & ScienceAnalyzes single-cell RNA-seq matrices with Scanpy: count validation, quality control, normalization, feature selection, neighborhoods, clustering, marker evidence, cell annotation, gene scoring and reproducible figures from AnnData, 10X or table inputs. Use when the user asks to "run QC on a scRNA-seq dataset", "cluster cells and find markers", "label cell types", "score a gene signature", "make a UMAP", or build a pseudotime trajectory. Not for clinical diagnosis, automatic cell-type labels without marker evidence, or treating cell-level tests as donor-level inference.
- Version
- v1.0.0
- Size
- 34 KB
- Updated
- 2026-10-02
$ skilvault read --manual scanpy-single-cell-analysisYour client verifies the signature before reading. This explicit manual read is available on every plan. Free automatically loads five chosen skills; paid plans automatically load relevant skills across the library.