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BayesCNet: Bayesian inference for cell type-specific regulatory networks leveraging cell type hierarchy in single-cell data

2025-09-17

Abstract excerpt

Understanding gene regulatory networks (GRNs) is essential for deciphering biological processes and disease mechanisms. Single-cell multiome technologies now enable joint profiling of chromatin accessibility and gene expression, offering an powerful means to infer cell type-specific GRNs. However, existing methods analyze each cell type independently or aggregate data into pseudo-bulk profiles, limiting their abil...

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Literature Corpus work
ea185edb-9338-5126-b960-459b63f17937
DOI
10.1101/2025.09.11.675686
Open publication

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BayesCNet: Bayesian inference for cell type-specific regulatory networks leveraging cell type hierarchy in single-cell dataDOI 10.1101/2025.09.11.675686
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