A fast and accurate deconvolution algorithm based on regularized matrix completion algorithm (ENIGMA)

DOT

Code, data and results associated with the "Rare diseases cell-typing" project.

Spatial Deconvolution method with Platform Effect Removal

MUSTANG: reference-free MUlti-sample Spatial Transcriptomics data ANalysis with cross-sample transcriptional similarity Guidance

Deconer: A Comprehensive and Systematic Cell Type Deconvolution Evaluator

cell-free ChIP-seq pipeline

This Github repository holds data, Notebooks and results of running SDePER on both Simulated and Real datasets, and Notebooks for figure panels in manuscript, as well as the codes for running other cell type deconvolution methods.