CoCoA-diff: counterfactual inference for single-cell gene expression analysis

Abstract Finding a causal gene is a fundamental problem in genomic medicine. We present a causal inference framework, CoCoA-diff, that prioritizes disease genes by adjusting confounders without prior knowledge of control variables in single-cell RNA-seq data. We demonstrate that our method substanti...

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Hlavní autoři:	Yongjin P. Park, Manolis Kellis
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	BMC 2021-08-01
Edice:	Genome Biology
Témata:	Causal inference Single-cell RNA-seq Counterfactual inference Alzheimer’s disease
On-line přístup:	https://doi.org/10.1186/s13059-021-02438-4
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