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

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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Bibliographic Details
Main Authors: Yongjin P. Park, Manolis Kellis
Format: Article
Language:English
Published: BMC 2021-08-01
Series:Genome Biology
Subjects:
Causal inference
Single-cell RNA-seq
Counterfactual inference
Alzheimer’s disease
Online Access:https://doi.org/10.1186/s13059-021-02438-4

Internet

https://doi.org/10.1186/s13059-021-02438-4

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