Bayesian Modeling in Bioinformatics - Chapman & Hall / CRC Biostatistics Series -  - Books - Taylor & Francis Ltd - 9780367383657 - October 17, 2019
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Bayesian Modeling in Bioinformatics - Chapman & Hall / CRC Biostatistics Series 1st edition

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Bayesian Modeling in Bioinformatics 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.

The book explores Bayesian techniques and models for detecting differentially expressed genes, classifying differential gene expression, and identifying biomarkers. It develops novel Bayesian nonparametric approaches for bioinformatics problems, measurement error and survival models for cDNA microarrays, a Bayesian hidden Markov modeling approach for CGH array data, Bayesian approaches for phylogenic analysis, sparsity priors for protein-protein interaction predictions, and Bayesian networks for gene expression data. The text also describes applications of mode-oriented stochastic search algorithms, in vitro to in vivo factor profiling, proportional hazards regression using Bayesian kernel machines, and QTL mapping.

Focusing on design, statistical inference, and data analysis from a Bayesian perspective, this volume explores statistical challenges in bioinformatics data analysis and modeling and offers solutions to these problems. It encourages readers to draw on the evolving technologies and promote statistical development in this area of bioinformatics.


466 pages, 37 Tables, black and white; 68 Illustrations, black and white

Media Books     Paperback Book   (Book with soft cover and glued back)
Released October 17, 2019
ISBN13 9780367383657
Publishers Taylor & Francis Ltd
Pages 466
Dimensions 150 × 220 × 10 mm   ·   453 g
Language English  
Editor Dey, Dipak K.
Editor Ghosh, Samiran
Editor Mallick, Bani K.

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