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Computational Biology (Hardback)

Edité par Springer-Verlag New York Inc., United States, 2009
ISBN 10: 1441908102 / ISBN 13: 9781441908100
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Titre : Computational Biology (Hardback)

Éditeur : Springer-Verlag New York Inc., United States

Date d'édition : 2009

Reliure : Hardback

Etat du livre : New

Edition : 1st Edition..

Description :

Language: English . Brand New Book. Computational biology is an interdisciplinary research that applies approaches and methodologies of information sciences and engineering to address complex pr- lems in biology. With rapid developments in the omics and computer technologies over the past decade, computational biology has been evolving to cover a much wider research domain and applications in order to adequately address challenging problems in systems biology and medicine. This edited book focuses on recent - sues and applications of computational biology in oncology. This book contains 11 chapters that cover diverse advanced computationalmethods applied to oncologyin an attempt to ?nd more effective ways for the diagnosis and cure of cancer. Chapter 1 by Chen and Nguyen addresses an analysis of cancer genomics data using partial least squares weights for identifying relevant genes, which are useful for follow-up validations. In Chap. 2, Zhao and Yan report an interesting biclust- ing method for microarray data analysis, which can handle the case when only a subset of genes coregulates under a subset of conditions and appears to be a novel technique for classifying cancer tissues. As another computational method for - croarray data analysis, the work by Le Cao and McLachlan in Chap. 3 discusses the dif?culties encountered when dealing with microarray data subjected to sel- tion bias, multiclass, and unbalanced problems, which can be overcome by careful selection of gene expression pro?les. Novel methods presented in these chapters can be applied for developing diagnostic tests and therapeutic treatments for cancer patients. N° de réf. du libraire LIB9781441908100

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Synopsis : Computational biology is an interdisciplinary research that applies approaches and methodologies of information sciences and engineering to address complex pr- lems in biology. With rapid developments in the omics and computer technologies over the past decade, computational biology has been evolving to cover a much wider research domain and applications in order to adequately address challenging problems in systems biology and medicine. This edited book focuses on recent - sues and applications of computational biology in oncology. This book contains 11 chapters that cover diverse advanced computationalmethods applied to oncologyin an attempt to ?nd more effective ways for the diagnosis and cure of cancer. Chapter 1 by Chen and Nguyen addresses an analysis of cancer genomics data using partial least squares weights for identifying relevant genes, which are useful for follow-up validations. In Chap. 2, Zhao and Yan report an interesting biclust- ing method for microarray data analysis, which can handle the case when only a subset of genes coregulates under a subset of conditions and appears to be a novel technique for classifying cancer tissues. As another computational method for - croarray data analysis, the work by Le ? Cao and McLachlan in Chap. 3 discusses the dif?culties encountered when dealing with microarray data subjected to sel- tion bias, multiclass, and unbalanced problems, which can be overcome by careful selection of gene expression pro?les. Novel methods presented in these chapters can be applied for developing diagnostic tests and therapeutic treatments for cancer patients.

Synopsis:

This book will introduce contributions, both methodological and technical, that have been made and are currently in progress in the field of computational biology as a resource in cancer research and oncology. This volume will illustrate the tools used in this area through a wide range of timely applications in genetics, genomics, and biomedical areas.

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