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...
Saved in:
Published in | Bioinformatics Advances Vol. 1; no. 1; p. vbab018 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press
2021
|
Subjects | |
Online Access | Get full text |
ISSN | 1367-4803 2635-0041 2635-0041 |
DOI | 10.1093/bioadv/vbab018 |
Cover
Loading…