About: Standard machine learning algorithms applied to UPLC-TOF/MS metabolic fingerprinting for the discovery of wound biomarkers in Arabidopsis thaliana

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scholarly article by Julien Boccard et al published November 2010 in Chemometrics and Intelligent Laboratory Systems

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rdf:type	Item
description	wetenschappelijk artikel (nl) article scientifique publié en 2010 (fr) наукова стаття, опублікована в листопаді 2010 (uk) im November 2010 veröffentlichter wissenschaftlicher Artikel (de) scholarly article by Julien Boccard et al published November 2010 in Chemometrics and Intelligent Laboratory Systems (en)
publication date	wds:Q58856051-5DE775C4-19A6-44EC-BE95-82A9B0695F06
publication date	2010-11-01 00:00:00Z (xsd:dateTime)
cites work	wds:Q58856051-02009619-0601-435B-BB70-90D131D932DC wds:Q58856051-13E33411-51A6-4EEB-90D9-595B30C83021 wds:Q58856051-18E7A2CD-588C-48FF-873D-E5962AA8F0A1 wds:Q58856051-197BA678-5FD2-437F-99CE-29588CB00816 wds:Q58856051-1E26935B-8E0E-4C39-BB8C-D7DAD6224203 wds:Q58856051-4F2FEDD4-C15C-4466-9589-E0F241E6B1F6 wds:Q58856051-5D2742F1-AE83-4583-97F2-309ED933F888 wds:Q58856051-6CE0B7FC-FF45-4A5C-B08C-ABCF441FD983 wds:Q58856051-7229BEFF-6852-4739-BF7F-1BF7D6C38BB0 wds:Q58856051-864C929A-6EE5-45D7-93E2-FE858FE10BD4 wds:Q58856051-8CB362A9-FEFA-4F45-913E-7DA8C4F50673 wds:Q58856051-8E1FCB69-DAE5-4558-AF15-4DE156D0E91A wds:Q58856051-9831E01B-0C32-46E4-B603-B6A7793B21A6 wds:Q58856051-AD857BB6-95B1-48CA-B7A4-F74007F554AE wds:Q58856051-CF8EF5D1-774A-42E3-9E1B-630830D86447 wds:Q58856051-D221CA7A-4B0D-42C0-A9D2-A856CB8DD588 wds:Q58856051-D75CD308-F5AB-4CC7-ACC8-A3732550822F wds:Q58856051-DF116E0D-E994-4487-8F86-630591614D17 wds:Q58856051-DFC83246-D23A-4B59-B3DE-2BBFD989196F wds:Q58856051-F8C59984-744C-4DCB-93B6-32B202492CBA wds:Q58856051-FD17ECD2-3CA9-45F5-B3BB-5E0A443DCD5B
cites work	Analysis of a complex of statistical variables into principal components Plant metabolomics: from holistic hope, to hype, to hot topic. An overview of statistical learning theory. Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests Wrappers for feature subset selection Measuring nominal scale agreement among many raters Data mining in bioinformatics using Weka Perceptron-based learning algorithms. Plant metabolomics: large-scale phytochemistry in the functional genomics era. Metabolomics: from pattern recognition to biological interpretation Development of a two-step screening ESI-TOF-MS method for rapid determination of significant stress-induced metabolome modifications in plant leaf extracts: The wound response inArabidopsis thaliana as a case study Multivariate data analysis of rapid LC-TOF/MS experiments from Arabidopsis thaliana stressed by wounding Mass spectrometry-based metabolomics oriented by correlation analysis for wound-induced molecule discovery: identification of a novel jasmonate glucoside Jasmonates and related oxylipins in plant responses to pathogenesis and herbivory UPLC-TOF-MS for plant metabolomics: a sequential approach for wound marker analysis in Arabidopsis thaliana Metabolite profiling of plant extracts by ultra-high-pressure liquid chromatography at elevated temperature coupled to time-of-flight mass spectrometry Instance-based learning algorithms Stability of feature selection algorithms: a study on high-dimensional spaces An Application of Information Theory to Multivariate Analysis Improved Use of Continuous Attributes in C4.5 Idiot's Bayes?Not So Stupid After All?
author name string	wds:Q58856051-4098E15A-7B72-4983-B7C3-D8F4963EFFA6 wds:Q58856051-634741F9-F49B-4135-A6B4-F4963F451D5A
author name string	Gérard Mazerolles Mohamed Hanafi
rdfs:label	Standard machine learning algorithms applied to UPLC-TOF/MS metabolic fingerprinting for the discovery of wound biomarkers in Arabidopsis thaliana (en) Standard machine learning algorithms applied to UPLC-TOF/MS metabolic fingerprinting for the discovery of wound biomarkers in Arabidopsis thaliana (nl)
skos:prefLabel	Standard machine learning algorithms applied to UPLC-TOF/MS metabolic fingerprinting for the discovery of wound biomarkers in Arabidopsis thaliana (en) Standard machine learning algorithms applied to UPLC-TOF/MS metabolic fingerprinting for the discovery of wound biomarkers in Arabidopsis thaliana (nl)
name	Standard machine learning algorithms applied to UPLC-TOF/MS metabolic fingerprinting for the discovery of wound biomarkers in Arabidopsis thaliana (en) Standard machine learning algorithms applied to UPLC-TOF/MS metabolic fingerprinting for the discovery of wound biomarkers in Arabidopsis thaliana (nl)
author	wds:Q58856051-3E4A3898-02B9-44C5-961E-E4EE69FC9815 wds:Q58856051-419E1CA5-74C9-44FD-9B3A-09D122FD0CBA wds:Q58856051-5657903A-E3AC-4683-966E-403EDE0191D3 wds:Q58856051-7BBB39F2-F98B-461E-B85B-F3287CF6A26C wds:Q58856051-9E01E4A2-662B-42F1-B2F1-D4E2C14C3B82 wds:Q58856051-A0033CDE-EDE8-4584-A66E-C9FCE0DF42D6 wds:Q58856051-EC42B93F-3203-48D6-99E4-B1EE0FC66D3B
author	Jean-Luc Wolfender Pierre-Alain Carrupt Serge Rudaz Julien Boccard Pierre Lanteri Alexandros Kalousis Melanie Hilario
title	wds:Q58856051-C2381002-E31F-45F7-889C-AF07C2DACFF8
title	Standard machine learning algorithms applied to UPLC-TOF/MS metabolic fingerprinting for the discovery of wound biomarkers in Arabidopsis thaliana (en)
page(s)	wds:Q58856051-AC8FA459-9D73-4F76-8547-FB2C271BE18F
page(s)	20-27
instance of	wds:Q58856051-3C3E344E-97E4-488F-A00F-80CB5572E0CC
instance of	scholarly article
main subject	wds:Q58856051-4B21BD8C-BA3F-4920-BF33-A1BDD99EE699 wds:Q58856051-A047706A-697B-4277-8056-8F9035766508 wds:Q58856051-BA11C884-C3EA-4FD5-A006-CA66A000A497
main subject	machine learning Arabidopsis thaliana biomarker
published in	wds:Q58856051-D683B340-6625-41B8-8875-402439990AE9
published in	Chemometrics and Intelligent Laboratory Systems
issue	wds:Q58856051-2FEFA1E7-AEB4-4BD5-AAEB-ED63FC887BF2
volume	wds:Q58856051-3394ACEE-9A5A-48CC-9E56-40DC4E4F0009
issue	1
volume	104
DOI	wds:Q58856051-1F02AF27-D3C0-44E4-B890-614B9C93E818
DOI	http://dx.doi.org/10.1016/J.CHEMOLAB.2010.03.003
DOI	10.1016/J.CHEMOLAB.2010.03.003
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q58856051
is cites work of	A consensus orthogonal partial least squares discriminant analysis (OPLS-DA) strategy for multiblock Omics data fusion Metabolic study of grapevine leaves infected by downy mildew using negative ion electrospray--Fourier transform ion cyclotron resonance mass spectrometry A metabolomic approach to the study of wine micro-oxygenation An Integrated Metabolomic and Genomic Mining Workflow To Uncover the Biosynthetic Potential of Bacteria

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