📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Enhancement of Plant Metabolite Fingerprinting by Machine Learning (2010)

First Author: Scott I

Attributed to: From health to sickness; the metabolomics transition associated with plant disease and defense funded by BBSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1104/pp.109.150524

PubMed Identifier: 20566707

Publication URI: http://europepmc.org/abstract/MED/20566707

Type: Journal Article/Review

Parent Publication: Plant Physiology

Issue: 4

ISSN: 0032-0889