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Pattern Recognition in Bioinformatics : 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 Laarhoven.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Lecture Notes in Computer Science ; 7986Editor: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Descripción: xIx, 290 páginas 71 ilustraciones recurso en líneaTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9783642391590
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • QH324.2-324.25
Recursos en línea:
Contenidos:
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.
Resumen: 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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