Article

conMItion: an R package adjusting confounding factors for associations in multi-omics

2026-05-11

Abstract excerpt

<h4>Summary</h4> Association measurements, such as mutual information (MI), are fundamental in the analysis of cancer multi-omics data for identifying cancer-related genes, gene signatures, and gene regulatory networks, thereby shedding light on tumor development, progression, and treatment. Confounding factors, including tumor purity and mutation burden, can bias association measurements in MI, potentially leadi...

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Literature Corpus work: 13487db6-d8b6-521e-9557-ab1dc8484845
DOI: 10.64898/2026.05.07.723535

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