What AI says about MAST

MAST is an R/Bioconductor package for the analysis of single-cell transcriptomics data that uses two-part generalized linear models to handle bimodal and zero-inflated gene expression. It provides easy importing and manipulation of expression matrices, low-quality cell filtering, adaptive background noise thresholding, and differential expression tests with covariate adjustment, along with gene set enrichment analysis and exploration of gene-gene correlations that account for covariates. The package has been ported to SingleCellExperiment, tracks assay contents for interoperability with Scater and SCRAN, and integrates with Bioconductor workflows.