Use when working with MAST — an R/Bioconductor package for differential expression analysis of single-cell RNA-seq data. Fits a hurdle model (zero-inflated two-component regression) via zlm() to handl
Use with AI
Install the MCP server or CLI to instantly fetch MAST documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/mast
DRIMSeq is a Bioconductor R package for Differential Transcript Usage (DTU) analysis using a Dirichlet-multinomial distribution to model transcript-level count proportions. Tests whether relative tran
2 shared topics • 1 shared operation
scanpy-plots — visualization layer of the Scanpy single-cell RNA-seq analysis suite (scanpy.pl module). Generates UMAP, t-SNE, PCA embeddings, violin plots, dot plots, heatmaps, matrix plots, stacked
2 shared topics • 1 shared operation
SEACells — single-cell metacell identification using kernel archetypal analysis. Aggregates highly similar single cells into metacells that preserve transcriptional and epigenomic heterogeneity while
2 shared topics • 1 shared operation
Seurat — comprehensive R toolkit for single-cell genomics enabling QC, normalization (LogNormalize, SCTransform), feature selection, dimensionality reduction (PCA, UMAP, t-SNE), graph-based clustering
2 shared topics • 1 shared operation
spacexr (RCTD) — R package for Robust Cell Type Decomposition of spatial transcriptomics data. Deconvolves cell type mixtures in spatial spots using single-cell RNA-seq references. Supports three mode
2 shared topics • 1 shared operation