Information theory and machine learning illuminate large-scale metabolomic responses of Brachypodium distachyon to environmental change.

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Bibliographic Details
Title: Information theory and machine learning illuminate large-scale metabolomic responses of Brachypodium distachyon to environmental change.
Authors: Mahood EH; Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA., Bennett AA; Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA., Komatsu K; Department of Cell and Systems Biology, University of Toronto, Toronto, Canada., Kruse LH; Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA., Lau V; Department of Cell and Systems Biology, University of Toronto, Toronto, Canada., Rahmati Ishka M; Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA.; Boyce Thompson Institute, Ithaca, NY, USA., Jiang Y; Soil and Crop Sciences Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA., Bravo A; Boyce Thompson Institute, Ithaca, NY, USA., Louie K; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.; Lawrence Berkeley National Laboratory, Department of Energy Joint Genome Institute, Berkeley, CA, USA., Bowen BP; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.; Lawrence Berkeley National Laboratory, Department of Energy Joint Genome Institute, Berkeley, CA, USA., Harrison MJ; Boyce Thompson Institute, Ithaca, NY, USA., Provart NJ; Department of Cell and Systems Biology, University of Toronto, Toronto, Canada., Vatamaniuk OK; Soil and Crop Sciences Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA., Moghe GD; Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA.
Source: The Plant journal : for cell and molecular biology [Plant J] 2023 May; Vol. 114 (3), pp. 463-481. Date of Electronic Publication: 2023 Mar 11.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Blackwell Scientific Publishers and BIOS Scientific Publishers in association with the Society for Experimental Biology Country of Publication: England NLM ID: 9207397 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-313X (Electronic) Linking ISSN: 09607412 NLM ISO Abbreviation: Plant J Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1365-313X
DOI:10.1111/tpj.16160