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 in:	Bioinformatics Advances Vol. 1; no. 1; p. vbab018
Main Authors:	Tritchler, David, Towle-Miller, Lorin M, Miecznikowski, Jeffrey C
Format:	Journal Article
Language:	English
Published:	England Oxford University Press 2021
Subjects:	Algorithms Bioinformatics Genomics Original Social organization Uterine cancer Variables
ISSN:	1367-4803, 2635-0041, 2635-0041
Online Access:	Get full text
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