Bayesian Modeling in Bioinformatics - Couverture souple

Couverture souple

ISBN 10 : 0367383659 ISBN 13 : 9780367383657

Editeur : Routledge, 2019

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.

A propos du livre

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.

Détails de l'édition

• Éditeur: Routledge
• Date d'édition: 2019
• Langue: anglais
• ISBN 10: 0367383659
• ISBN 13: 9780367383657
• Reliure: Broché
• Nombre de pages: 468
• Éditeur: Dey Dipak K.
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible