Balanced Functional Module Detection in genomic data

Motivation High-dimensional genomic data can be analyzed to understand the effects of variables on a target variable such as a clinical outcome. For understanding the underlying biological mechanism affecting the target, it is important to discover the complete set of relevant variables. Thus variab...

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Bibliographic Details
Published inBioinformatics Advances Vol. 1; no. 1; p. vbab018
Main Authors Tritchler, David, Towle-Miller, Lorin M, Miecznikowski, Jeffrey C
Format Journal Article
LanguageEnglish
Published England Oxford University Press 2021
Subjects
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ISSN1367-4803
2635-0041
2635-0041
DOI10.1093/bioadv/vbab018

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