STED:Supplement Information and Demo data

STED: Single-cell Topic Modeling & Epigenetic Deconvolution STED is a Python package designed for the analysis of single-cell and bulk multi-omics data. It leverages semi-supervised topic modeling (Anchored CorEx and LDA) to identify cell-type-specific gene modules in single-cell data and uses these models to deconvolve bulk RNA-seq, ATAC-seq and ChIP-seq data, estimating cell type proportions and predicting cell-type-specific epigenetic signals.