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CRC Press Bayesian Modeling in Bioinformatics - CRC Series

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Description

Bayesian Modeling in Bioinformatics provides a detailed look at the development and application of Bayesian statistical methods. This text is designed for the analysis of high-throughput bioinformatics data, specifically addressing challenges found in molecular and structural biology. It is a valuable resource for researchers working in disease-related medical research, including cancer studies. The book offers a broad overview of statistical inference, clustering, and classification problems. It focuses on two major high-throughput platforms: microarray gene expression and phylogenic analysis. Readers will find practical applications for detecting differentially expressed genes and classifying differential gene expression, making it a specialized tool for those working at the intersection of statistics and biological sciences.

Key Features

Covers Bayesian statistical methods for analyzing high-throughput bioinformatics data from molecular and structural biology.

Addresses critical problems in disease-related medical research, such as cancer studies.

Provides a broad overview of statistical inference, clustering, and classification problems.

Focuses on two main high-throughput platforms: microarray gene expression and phylogenic analysis.

Explores specific Bayesian techniques and models for detecting differentially expressed genes.

Includes methods for classifying differential gene expression within biological datasets.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
03 September 2010
Listed Since
04 April 2008

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No barcode data available

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