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Article

Mapping disease regulatory circuits at cell-type resolution from single-cell multiomics data

2022-12-07

Abstract excerpt

Resolving chromatin remodeling-linked gene expression changes at cell type resolution is important for understanding disease states. We describe MAGICAL, a hierarchical Bayesian approach that leverages paired scRNA-seq and scATAC-seq data from different conditions to map disease-associated transcription factors, chromatin sites, and genes as regulatory circuits. By simultaneously modeling signal variation across c...

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Identifiers and source

Literature Corpus work
ed7a5f36-e46f-57a3-bc4f-0b51ce714e56
DOI
10.1101/2022.12.06.22282077
Open publication

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Mapping disease regulatory circuits at cell-type resolution from single-cell multiomics dataDOI 10.1101/2022.12.06.22282077
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