Data-driven human transcriptomic modules determined by independent component analysis

Data-driven human transcriptomic modules determined by independent component analysis

Abstract Background Analyzing the human transcriptome is crucial in advancing precision medicine, and the plethora of over half a million human microarray samples in the Gene Expression Omnibus (GEO) has enabled us to better characterize biological processes at the molecular level. However, transcri...

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Bibliographic Details
Main Authors: Weizhuang Zhou, Russ B. Altman
Format: Article
Language:English
Published: BMC 2018-09-01
Series:BMC Bioinformatics
Subjects:
Independent component analysis
Gene expression
Functional modules
Transcriptome
Online Access:http://link.springer.com/article/10.1186/s12859-018-2338-4

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http://link.springer.com/article/10.1186/s12859-018-2338-4

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