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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Identifiers and source
- Literature Corpus work
- aab2bf7d-0e4a-5418-9c2d-a1ddae8a257b
- DOI
- 10.21203/rs.3.rs-8997629/v1
