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Article

Three Classes of Confound in Gene-Regulatory-Network Inference: A Systematic Audit and Open-Source Diagnostic Toolkit

2026-03-26

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> : Inferred gene regulatory networks (GRNs) from single-cell RNA-seq are used to prioritize transcription-factor–target hypotheses, yet edge rankings can be inflated by confounds that are rarely audited systematically. Individual confound classes—technical batch effects, genomic proximity co-expression, and degree-distribution artifacts—have been studied in iso...

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Literature Corpus work
aab2bf7d-0e4a-5418-9c2d-a1ddae8a257b
DOI
10.21203/rs.3.rs-8997629/v1
Open publication

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Three Classes of Confound in Gene-Regulatory-Network Inference: A Systematic Audit and Open-Source Diagnostic ToolkitDOI 10.21203/rs.3.rs-8997629/v1
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