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          <dc:title>Computational Methods Aiding Early-Stage Drug Design (Dagstuhl Seminar 13212)</dc:title>
          <dc:creator>Bender, Andreas</dc:creator>
          <dc:creator>Göhlmann, Hinrich</dc:creator>
          <dc:creator>Hochreiter, Sepp</dc:creator>
          <dc:creator>Shkedy, Ziv</dc:creator>
          <dc:subject>Bioinformatics</dc:subject>
          <dc:subject>Chemoinformatics</dc:subject>
          <dc:subject>Machine learning</dc:subject>
          <dc:subject>Statistics</dc:subject>
          <dc:subject>Interdisciplinary applications</dc:subject>
          <dc:description>This report documents the program and the outcomes of Dagstuhl Seminar 13212 "Computational Methods Aiding Early-Stage Drug Design". The aim of the seminar was to bring scientists working on various aspects of drug discovery, genomic technologies and computational science (e.g., bioinformatics, chemoinformatics, machine learning, and statistics) together to explore how high dimensional data sets created by genomic technologies can be integrated to identify functional manifestations of drug actions on living cells early in the drug discovery process.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Andreas Bender and Hinrich Göhlmann and Sepp Hochreiter and Ziv Shkedy</dc:contributor>
          <dc:date>2013</dc:date>
          <dc:relation>Is Part Of Dagstuhl Reports, Volume 3, Issue 5 (2013)</dc:relation>
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          <dc:language>eng</dc:language>
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