Bayesian Modeling In Bioinformatics

October 19, 2019|
Bayesian Modeling In Bioinformatics by Dipak K. Dey
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Bayesian Modeling in Bioinformaticsdiscusses 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 vitrotoin vivofactor 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.

Dipak K. Deyis a professor and head of the Department of Statistics at the University of Connecticut.Samiran Ghoshis an assistant professor in the Department of Mathematical Sciences at Indiana University-Purdue University.Bani K. Mallickis a professor of statistics and director of the Bayesian Bioinformatics Laboratory at Texas A&...
Title:Bayesian Modeling In BioinformaticsFormat:PaperbackProduct dimensions:466 pages, 9.21 X 6.14 X 0 inShipping dimensions:466 pages, 9.21 X 6.14 X 0 inPublished:October 19, 2019Publisher:Crc Press LlcLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0367383659

ISBN - 13:9780367383657

Appropriate for ages: All ages

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