Books  Data Analysis & Modelling  Bioinformatics 

Bayesian Modeling in Bioinformatics

Series: Chapman & Hall/CRC Biostatistics Series Volume: 34

Edited By: Dipak K Dey, Samiran Ghosh and Bani K Mallick

536 pages, illis, tabs

Taylor & Francis

Hardback | May 2010 | #183877 | ISBN-13: 9781420070170
Availability: Usually dispatched within 6 days Details
NHBS Price: £57.99 $72/€69 approx

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.


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

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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.

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