Data Reduction Approaches for Dissecting Transcriptional Effects on Metabolism

The availability of high-throughput data from transcriptomics and metabolomics technologies provides the opportunity to characterize the transcriptional effects on metabolism. Here we propose and evaluate two computational approaches rooted in data reduction techniques to identify and categorize tra...

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Bibliographic Details
Main Authors: Kevin Schwahn, Zoran Nikoloski
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-04-01
Series:Frontiers in Plant Science
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fpls.2018.00538/full