Tensorial blind source separation for improved analysis of multi-omic data

Tensorial blind source separation for improved analysis of multi-omic data

Abstract There is an increased need for integrative analyses of multi-omic data. We present and benchmark a novel tensorial independent component analysis (tICA) algorithm against current state-of-the-art methods. We find that tICA outperforms competing methods in identifying biological sources of d...

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Bibliographic Details
Main Authors: Andrew E. Teschendorff, Han Jing, Dirk S. Paul, Joni Virta, Klaus Nordhausen
Format: Article
Language:English
Published: BMC 2018-06-01
Series:Genome Biology
Subjects:
Multi-omic
Tensor
Dimensional reduction
Independent component analysis
mQTL
Epigenome-wide association study
Online Access:http://link.springer.com/article/10.1186/s13059-018-1455-8

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http://link.springer.com/article/10.1186/s13059-018-1455-8

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