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Title[redir]:
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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Keywords {๐}
analysis, data, metabolomics, weckwerth, protocol, chapter, privacy, cookies, content, information, publish, morgenthal, molecular, article, google, scholar, search, steuer, selbig, methods, biology, cas, networks, download, usd, personal, log, journal, research, metabolomic, wolfram, book, biological, access, pubmed, institute, germany, press, ebook, springer, function, optional, including, parties, policy, find, track, gentle, guide, cite,
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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 usdย 49 molecular biologyโข 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
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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
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name:Department of Metabolic Networks, Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
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