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Integrative cluster analysis in bioinformatics

Clustering techniques are increasingly being put to use in the analysis of high-throughput biological datasets. Novel computational techniques to analyse high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases a...

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Detalles Bibliográficos
Autores principales: Abu-Jamous, Basel, Fa, Rui, Nandi, Asoke K
Lenguaje:eng
Publicado: Wiley 2015
Materias:
Acceso en línea:http://cds.cern.ch/record/2019299
Descripción
Sumario:Clustering techniques are increasingly being put to use in the analysis of high-throughput biological datasets. Novel computational techniques to analyse high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. This book details the complete pathway of cluster analysis, from the basics of molecular biology to the generation of biological knowledge. The book also presents the latest clustering methods and clustering validation, thereby offering the reader a comprehensive review o