bio-applied-cell-type-annotation

SKILLFlujo de trabajocomunidad
v0.0.0Pavel-KravchenkoUnknownActualizado hace 1 mFuente →

Annotate scRNA-seq Leiden/Louvain clusters into cell types via canonical marker scoring, SingleR reference correlation, and CellTypist logistic-regression classification on an AnnData/SingleCellExperiment object. Use when doing cell type annotation, labeling clusters, scoring marker genes on a UMAP,

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
4Estrellas del repo
1Clientes
1Formatos
hace 1 mÚltima actualización
Skill
AutorPavel-Kravchenko
Versión0.0.0
LicenciaUnknown
CategoríaFlujo de trabajo
Formatosskill.md
PromptNo publicado
Compatibilidad
Claude✓ Compatible
Cursor
Copilot
ChatGPT
Gemini
Acerca de

Annotate scRNA-seq Leiden/Louvain clusters into cell types via canonical marker scoring, SingleR reference correlation, and CellTypist logistic-regression classification on an AnnData/SingleCellExperiment object. Use when doing cell type annotation, labeling clusters, scoring marker genes on a UMAP, running SingleR or CellTypist, or resolving ambiguous/NA-labeled clusters in PBMC or other scRNA-se

Palabras clave
skillclaude