A fast and accurate deconvolution algorithm based on regularized matrix completion algorithm (ENIGMA)
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Updated
Jun 21, 2023 - HTML
A fast and accurate deconvolution algorithm based on regularized matrix completion algorithm (ENIGMA)
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Code, data and results associated with the "Rare diseases cell-typing" project.
MUSTANG: reference-free MUlti-sample Spatial Transcriptomics data ANalysis with cross-sample transcriptional similarity Guidance
cell-free ChIP-seq pipeline
Spatial Deconvolution method with Platform Effect Removal
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.
Deconer: A Comprehensive and Systematic Cell Type Deconvolution Evaluator
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