Tools
Scanpy Preprocess
Standard single-cell RNA-seq preprocessing: filter cells by gene count, filter genes by cell count, normalize, log transform, identify highly variable genes. Essential first step before UMAP and clustering.
Runnablesequencing readsscverse/scanpy | 2,497 stars
Catalog entry
About this entry
Standard single-cell RNA-seq preprocessing: filter cells by gene count, filter genes by cell count, normalize, log transform, identify highly variable genes. Essential first step before UMAP and clustering.
Use in DarwinOmics
How to use it
Use this tool to reproduce a concrete analysis step from supplied inputs, captured parameters, and versioned outputs, then compare the regenerated artifacts against the submitted result record.