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Academic & Professional Books  Reference  Data Analysis & Modelling  Bioinformatics

Bayesian Modeling in Bioinformatics

Edited By: Dipak K Dey, Samiran Ghosh and Bani K Mallick
536 pages, illis, tabs
Publisher: Taylor & Francis
Bayesian Modeling in Bioinformatics
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  • Bayesian Modeling in Bioinformatics ISBN: 9781420070170 Hardback Sep 2010 Not in stock: Usually dispatched within 1 week
    £130.00
    #183877
Price: £130.00
About this book Contents Customer reviews Biography Related titles

About this book

This title discusses the development and application of Bayesian statistical methods for the analysis of high-throughput bioinformatics data arising from problems in molecular and structural biology and disease-related medical research, such as cancer. It presents a broad overview of statistical inference, clustering and classification problems in two main high-throughput platforms: microarray gene expression and phylogenic analysis.

Contents

General Overview. Unsupervised Methods: Clustering. Supervised Methods: Classification. Gene Selection. Proteomics and Protein Structure Prediction. Metabonomics. Genomics. Gene Network and Pathway Analysis. Genetics.

Customer Reviews

Biography

Dipak K. Dey is a professor and head of the Department of Statistics at the University of Connecticut. Samiran Ghosh is an assistant professor in the Department of Mathematical Sciences at Indiana University-Purdue University. Bani K. Mallick is a professor of statistics and director of the Bayesian Bioinformatics Laboratory at Texas A&M University.

Edited By: Dipak K Dey, Samiran Ghosh and Bani K Mallick
536 pages, illis, tabs
Publisher: Taylor & Francis
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