Computational Intelligence Methods for Bioinformatics and Biostatistics [electronic resource] : 10th International Meeting, CIBB 2013, Nice, France, June 20-22, 2013, Revised Selected Papers / edited by Enrico Formenti, Roberto Tagliaferri, Ernst Wit.
Contributor(s): Formenti, Enrico [editor.]
| Tagliaferri, Roberto [editor.] | Wit, Ernst [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Bioinformatics: 8452Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Edition: 1st ed. 2014.Description: XIII, 275 p. 99 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319090429.Subject(s): Bioinformatics | Pattern recognition systems | Data mining | Computer science | Computer vision | Algorithms | Computational and Systems Biology | Automated Pattern Recognition | Data Mining and Knowledge Discovery | Theory of Computation | Computer Vision | AlgorithmsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 570.285 | 570.113 Online resources: Click here to access online
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Springer Nature eBookSummary: This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2013, held in Nice, France in June 2013. The 19 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections on bioinformatics, biostatistics, knowledge based medicine, and data integration and analysis in omic-science.
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This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2013, held in Nice, France in June 2013. The 19 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections on bioinformatics, biostatistics, knowledge based medicine, and data integration and analysis in omic-science.
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