@inproceedings{Hamecher2011versa-18668,
  year={2011},
  title={A versatile framework for the analysis of high-throughput screening data},
  number={57},
  isbn={978-952-15-2592-6},
  publisher={Tampere International Center for Signal Processing},
  address={Tampere},
  series={TICSP Report},
  booktitle={Eighth International Workshop on Computational Systems Biology, WCSB 2011, June 6 - 8, 2011, Zürich, Switzerland},
  pages={57--60},
  editor={Koeppl, Heinz},
  author={Hamecher, Johannes and Rieß, Thorsten and Bertini, Enrico and Kozak, Karol and Kastl, Johanna Maria and Mayer, Thomas U. and Merhof, Dorit}
}

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    <dc:contributor>Bertini, Enrico</dc:contributor>
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    <dcterms:bibliographicCitation>First publ. in: Eighth International Workshop on Computational Systems Biology, WCSB 2011, June 6-8, 2011, Zürich, Switzerland / Heinz Koeppl... (eds.). - Tampere : Tampere International Center for Signal Processing, 2011. - S. 57-60. - (TICSP Report ; 57). - ISBN 978-952-15-2592-6</dcterms:bibliographicCitation>
    <dcterms:title>A versatile framework for the analysis of high-throughput screening data</dcterms:title>
    <dcterms:abstract xml:lang="eng">Mitosis is an essential process within the cell life cycle, and research in this field has many applications in medicine. In order to study the proteins involved in mitosis and their function, small molecules (compounds) are required which inhibit the protein under investigation and hence allow to switch off the respective protein. For this purpose, high-throughput screening is performed, where thousands of compounds from commercially available libraries are probed using optical readouts. The vast amounts of data generated in high-throughput screening require dedicated data analysis and visual analytics approaches for evaluation. In this work, a versatile framework is presented which provides data preprocessing and visualization approaches for the analysis of high-throughput screening data.</dcterms:abstract>
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