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CRC Press Bayesian Modeling in Bioinformatics - CRC Press Biostatistics

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Description

Bayesian Modeling in Bioinformatics is a comprehensive guide to applying Bayesian statistical methods for analysing high-throughput bioinformatics data in molecular and structural biology research. This volume, part of the Chapman & Hall/CRC Biostatistics Series, covers statistical inference, clustering, and classification across microarray gene expression and phylogenic analysis platforms. It explores Bayesian techniques for detecting differentially expressed genes and classifying gene expression patterns, providing researchers with practical methodologies for tackling complex bioinformatics challenges. The book bridges theoretical foundations with real-world applications in disease-related medical research, including cancer studies, making it an essential resource for biostatisticians, computational biologists, and researchers working with large-scale genomic datasets.

Key Features

Bayesian Modeling in Bioinformatics covers statistical inference and clustering methods specifically designed for high-throughput bioinformatics data analysis.

The Chapman & Hall/CRC Biostatistics Series volume addresses differential gene expression detection using advanced Bayesian techniques and models.

This biostatistics resource explores phylogenic analysis and microarray gene expression as primary platforms for modern molecular research.

The book presents classification methodologies for gene expression patterns applicable to cancer and disease-related medical research applications.

Product Specifications

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

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