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Pattern Recognition in Bioinformatics [electronic resource] : 8th IAPR International Conference, PRIB 2013, Nice, France, June 17-20, 2013. Proceedings / edited by Alioune Ngom, Enrico Formenti, Jin-Kao Hao, Xing-Ming Zhao, Twan van Laarhoven.

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 7986Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: XIX, 290 p. 71 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783642391590
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 570.285 23
LOC classification:
  • QH324.2-324.25
Online resources:
Contents:
Bio-molecular networks and pathway analysis -- Learning, classification, and clustering -- Data mining and knowledge discovery -- Protein: structure, function, and interaction -- Motifs, sites, and sequence analysis.
In: Springer eBooksSummary: This book constitutes the refereed proceedings of the 8th IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB 2013, held in Nice, France, in June 2013. The 25 revised full papers presented were carefully reviewed and selected from 43 submissions. The papers are organized in topical sections on bio-molecular networks and pathway analysis; learning, classification, and clustering; data mining and knowledge discovery; protein: structure, function, and interaction; motifs, sites, and sequence analysis.
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Bio-molecular networks and pathway analysis -- Learning, classification, and clustering -- Data mining and knowledge discovery -- Protein: structure, function, and interaction -- Motifs, sites, and sequence analysis.

This book constitutes the refereed proceedings of the 8th IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB 2013, held in Nice, France, in June 2013. The 25 revised full papers presented were carefully reviewed and selected from 43 submissions. The papers are organized in topical sections on bio-molecular networks and pathway analysis; learning, classification, and clustering; data mining and knowledge discovery; protein: structure, function, and interaction; motifs, sites, and sequence analysis.

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