Combined multivariate analysis and machine learning reveals a predictive module of metabolic stress response in Arabidopsis thaliana-Reference-Cited by-同舟云学术

Combined multivariate analysis and machine learning reveals a predictive module of metabolic stress response in Arabidopsis thaliana

Published:2018 Issue:6 Volume:14 Page:437-449
ISSN:2515-4184
Container-title:Molecular Omics
language:en
Short-container-title:Mol. Omics

Author:

Fürtauer Lisa¹²³⁴⁵^ORCID,Pschenitschnigg Alice⁶⁷⁸⁹,Scharkosi Helene⁶⁷⁸⁹,Weckwerth Wolfram⁶⁷⁸⁹¹⁰^ORCID,Nägele Thomas¹²³⁴⁵^ORCID

Affiliation:

1. Ludwig-Maximilians-Universität München

2. Department Biology I

3. Plant Evolutionary Cell Biology

4. D-82152 Planegg-Martinsried

5. Germany

6. Department of Ecogenomics and Systems Biology

7. University of Vienna

8. Vienna

9. Austria

10. Vienna Metabolomics Center

Abstract

A stress-responsive molecular core module was identified which supports the prediction of complex biochemical regulation under changing environmental conditions.

Funder

Austrian Science Fund

Publisher

Royal Society of Chemistry (RSC)

Subject

Genetics,Molecular Biology,Biochemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2018/MO/C8MO00095F

Reference70 articles.

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