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Titolo: | 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 van Laarhoven |
Pubblicazione: | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
Edizione: | 1st ed. 2013. |
Descrizione fisica: | 1 online resource (XIX, 290 p. 71 illus.) |
Disciplina: | 570.285 |
Soggetto topico: | Bioinformatics |
Health informatics | |
Pattern recognition | |
Algorithms | |
Artificial intelligence | |
Computational Biology/Bioinformatics | |
Health Informatics | |
Pattern Recognition | |
Algorithm Analysis and Problem Complexity | |
Artificial Intelligence | |
Soggetto non controllato: | IAPR |
PRIB | |
Persona (resp. second.): | NgomAlioune |
FormentiEnrico | |
HaoJin-Kao | |
ZhaoXing-Ming | |
van LaarhovenTwan | |
Note generali: | Bibliographic Level Mode of Issuance: Monograph |
Nota di bibliografia: | Includes bibliographical references and author index. |
Nota di contenuto: | 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. |
Sommario/riassunto: | 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. |
Titolo autorizzato: | Pattern Recognition in Bioinformatics |
ISBN: | 3-642-39159-1 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910484417203321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |