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Rough Sets in Bioinformatics

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Transactions on Rough Sets VII

Part of the book series: Lecture Notes in Computer Science ((TRS,volume 4400))

Abstract

Rough set-based rule induction allows easily interpretable descriptions of complex biological systems. Here, we review a number of applications of rough sets to problems in bioinformatics, including cancer classification, gene and protein function prediction, gene regulation, protein-drug interaction and drug resistance.

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Authors and Affiliations

  1. The Linnaeus Centre for Bioinformatics, Uppsala University, Uppsala, Sweden

    Torgeir R. Hvidsten & Jan Komorowski

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  1. Torgeir R. Hvidsten
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  2. Jan Komorowski
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James F. Peters Andrzej Skowron Victor W. Marek Ewa Orłowska Roman Słowiński Wojciech Ziarko

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Hvidsten, T.R., Komorowski, J. (2007). Rough Sets in Bioinformatics. In: Peters, J.F., Skowron, A., Marek, V.W., Orłowska, E., Słowiński, R., Ziarko, W. (eds) Transactions on Rough Sets VII. Lecture Notes in Computer Science, vol 4400. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71663-1_14

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  • DOI: https://doi.org/10.1007/978-3-540-71663-1_14

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  • Print ISBN: 978-3-540-71662-4

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