<?xml version="1.0" encoding="utf-8"?>
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  <doc>
    <id>45492</id>
    <completedYear/>
    <publishedYear>2018</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>Chapter 20, 285</pageFirst>
    <pageLast>296</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>1778</volume>
    <type>bookpart</type>
    <publisherName>Springer-Verlag</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Statistical and Multivariate Analysis of MS-Based Plant Metabolomics Data</title>
    <abstract language="eng">Raw data from metabolomics experiments are initially subjected to peak identification and signal deconvolution to generate raw data matrices m × n, where m are samples and n are metabolites. We describe here simple statistical procedures on such multivariate data matrices, all provided as functions in the programming environment R, useful to normalize data, detect biomarkers, and perform sample classification.</abstract>
    <parentTitle language="eng">Plant Metabolomics: Methods and Protocols</parentTitle>
    <identifier type="doi">10.1007/978-1-4939-7819-9_20</identifier>
    <identifier type="isbn">978-1-4939-7819-9</identifier>
    <identifier type="isbn">978-1-4939-7818-2</identifier>
    <identifier type="issn">1064-3745</identifier>
    <identifier type="issn">1940-6029</identifier>
    <enrichment key="date_peer_review">13.09.2018</enrichment>
    <author>Jan Lisec</author>
    <author>C. Jaeger</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Mass-Spectrometry</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Multivariate Statistics</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
  </doc>
</export-example>
