Computational Intelligence Methods for Bioinformatics and Biostatistics [recurso electrónico] : 12th International Meeting, CIBB 2015, Naples, Italy, September 10-12, 2015, Revised Selected Papers / edited by Claudia Angelini, Paola MV Rancoita, Stefano Rovetta.
Tipo de material: TextoSeries Lecture Notes in Computer Science ; 9874Editor: Cham : Springer International Publishing : Imprint: Springer, 2016Descripción: XII, 286 p. 89 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783319443324Tema(s): Computer science | Computers | Algorithms | Mathematical statistics | Data mining | Artificial intelligence | Bioinformatics | Computer Science | Computational Biology/Bioinformatics | Artificial Intelligence (incl. Robotics) | Data Mining and Knowledge Discovery | Computation by Abstract Devices | Probability and Statistics in Computer Science | Algorithm Analysis and Problem ComplexityFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 570.285 Clasificación LoC:QH324.2-324.25Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
Computational techniques in bioinformatics -- Systems biology and medical informatics -- Cutting edge methodologies and accelerate life science discoveries -- Novel challenges with an high impact on molecular biology and translational medicine.
This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2015, held in Naples, Italy, in September, 2015. The 21 revised full papers presented were carefully reviewed and selected from 24 submissions. They present problems concerning computational techniques in bioinformatics, systems biology and medical informatics discussing cutting edge methodologies and accelerate life science discoveries, as well as novel challenges with an high impact on molecular biology and translational medicine.