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Title:
A Gentle Guide to the Analysis of Metabolomic Data | SpringerLink
Description:
Modern molecular biology crucially relies on computational tools to handle and interpret the large amounts of data that are generated by high-throughput measurements. To this end, much effort is dedicated to devise novel sophisticated methods that allow one to...
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month download article/chapter exploring cutting-edge technologies metabolite-protein networks privacy choices/manage cookies device instant download humana press molecular plant physiology journal finder publish european economic area high-throughput measurements multiple biomarker selection analyze biological data conditions privacy policy max planck institute principal component analysis katja morgenthal protocol steuer accepting optional cookies improve pattern recognition specifically designed methods discriminant function analysis main content log protocol cite protocol usd 49 molecular biology™ journal publish affiliations department privacy policy metabolomic data check access ethics access chapter seeks permissions reprints chapter log books a data analysis microbial metabolomics metabolomic networks optional cookies personal data information manage preferences pattern recognition biological interpretation data protection microarray data book series affiliations institute usage analysis computational analysis

Schema {🗺️}

ScholarlyArticle:
      headline:A Gentle Guide to the Analysis of Metabolomic Data
      pageEnd:126
      pageStart:105
      image:https://media.springernature.com/w153/springer-static/cover/book/978-1-59745-244-1.jpg
      genre:
         Springer Protocols
      isPartOf:
         name:Metabolomics
         isbn:
            978-1-59745-244-1
            978-1-58829-561-3
         type:Book
      publisher:
         name:Humana Press
         logo:
            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:Ralf Steuer
            affiliation:
                  name:University of Potsdam
                  address:
                     name:Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Katja Morgenthal
            affiliation:
                  name:Max Planck Institute of Molecular Plant Physiology
                  address:
                     name:Department of Metabolic Networks, Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Wolfram Weckwerth
            affiliation:
                  name:Max Planck Institute of Molecular Plant Physiology
                  address:
                     name:Department of Metabolic Networks, Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Joachim Selbig
            affiliation:
                  name:University of Potsdam
                  address:
                     name:Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
                     type:PostalAddress
                  type:Organization
            type:Person
      keywords:Singular Value Decomposition, Independent Component Analysis, Independent Component Analysis, Discriminant Function Analysis, Metabolomic Data
      description:Modern molecular biology crucially relies on computational tools to handle and interpret the large amounts of data that are generated by high-throughput measurements. To this end, much effort is dedicated to devise novel sophisticated methods that allow one to integrate, evaluate, and analyze biological data. However, prior to an application of specifically designed methods, simple and well-known statistical approaches often provide a more appropriate starting point for further analysis. This chapter seeks to describe several well-established approaches to data analysis, including various clustering techniques, discriminant function analysis, principal component analysis, multidimensional scaling, and classification trees. The chapter is accompanied by a webpage, describing the application of all algorithms in a ready-to-use format.
      datePublished:2007
      isAccessibleForFree:
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Book:
      name:Metabolomics
      isbn:
         978-1-59745-244-1
         978-1-58829-561-3
Organization:
      name:Humana Press
      logo:
         url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
         type:ImageObject
      name:University of Potsdam
      address:
         name:Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
         type:PostalAddress
      name:Max Planck Institute of Molecular Plant Physiology
      address:
         name:Department of Metabolic Networks, Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
         type:PostalAddress
      name:Max Planck Institute of Molecular Plant Physiology
      address:
         name:Department of Metabolic Networks, Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
         type:PostalAddress
      name:University of Potsdam
      address:
         name:Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
         type:PostalAddress
ImageObject:
      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:Ralf Steuer
      affiliation:
            name:University of Potsdam
            address:
               name:Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
               type:PostalAddress
            type:Organization
      name:Katja Morgenthal
      affiliation:
            name:Max Planck Institute of Molecular Plant Physiology
            address:
               name:Department of Metabolic Networks, Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
               type:PostalAddress
            type:Organization
      name:Wolfram Weckwerth
      affiliation:
            name:Max Planck Institute of Molecular Plant Physiology
            address:
               name:Department of Metabolic Networks, Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
               type:PostalAddress
            type:Organization
      name:Joachim Selbig
      affiliation:
            name:University of Potsdam
            address:
               name:Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
               type:PostalAddress
            type:Organization
PostalAddress:
      name:Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
      name:Department of Metabolic Networks, Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
      name:Department of Metabolic Networks, Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
      name:Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
WebPageElement:
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