Bayesian Modeling in Bioinformatics - Couverture rigide

Livre 24 sur 151: Chapman & Hall/CRC Biostatistics
 
9781420070170: Bayesian Modeling in Bioinformatics

Synopsis

This volume 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. It presents a broad overview of statistical inference, clustering, and classification problems in two main high-throughput platforms: microarray gene expression and phylogenic analysis. Illustrating concepts using real-world data, the book covers a variety of recently developed Bayesian techniques, along with applications in genome-wide studies, phylogenetics, breast cancer, expression genomics, and more.

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À propos de l?auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9780367383657: Bayesian Modeling in Bioinformatics

Edition présentée

ISBN 10 :  0367383659 ISBN 13 :  9780367383657
Editeur : Routledge, 2019
Couverture souple