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  <titleInfo>
    <title>Clustering in bioinformatics and drug discovery</title>
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  <name type="personal">
    <namePart>MacCuish, John D.</namePart>
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  <name type="personal">
    <namePart>MacCuish, Norah E.</namePart>
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  <genre authority="lcsh">Electronic books.</genre>
  <originInfo>
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    <place>
      <placeTerm type="text">Boca Raton</placeTerm>
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    <publisher>Taylor &amp; Francis</publisher>
    <dateIssued>2011</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>214 p. : ill.</extent>
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  <abstract>"This book presents an introduction to cluster analysis and algorithms in the context of drug discovery clustering applications. It provides the key to understanding applications in clustering large combinatorial libraries (in the millions of compounds) for compound acquisition, HTS results, 3D lead hopping, gene expression for toxicity studies, and protein reaction data. Bringing together common and emerging methods, the text covers topics peculiar to drug discovery data, such as asymmetric measures and asymmetric clustering algorithms as well as clustering ambiguity and its relation to fuzzy clustering and overlapping clustering algorithms"--Provided by publisher.</abstract>
  <tableOfContents>(Publisher-supplied data) Introduction -- Data -- Clustering Forms -- Partitional Algorithms -- Cluster Sampling Algorithms - Hierarchical Algorithms -- Hybrid Algorithms -- Asymmetry -- Ambiguity -- Validation -- Large Scale and Parallel Algorithms.</tableOfContents>
  <note type="statement of responsibility">John D. MacCuish, Norah E. MacCuish.</note>
  <note>Includes bibliographical references and index.</note>
  <note>Also available in print edition.</note>
  <note>Mode of access: World Wide Web.</note>
  <subject authority="lcsh">
    <topic>Bioinformatics</topic>
    <topic>Mathematics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Drug development</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Cluster analysis</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Computational biology</topic>
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      <title>Chapman &amp; Hall/CRC mathematical and computational biology series (Unnumbered)</title>
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  <identifier type="isbn">9781439816790 (ebook : PDF)</identifier>
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