Bayesian Modeling in Bioinformatics: 34 (Chapman & Hall/CRC Biostatistics Series) - Tapa dura

Libro 24 de 151: Chapman & Hall/CRC Biostatistics
 
9781420070170: Bayesian Modeling in Bioinformatics: 34 (Chapman & Hall/CRC Biostatistics Series)

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Otras ediciones populares con el mismo título

9780367383657: Bayesian Modeling in Bioinformatics: 34 (Chapman & Hall/CRC Biostatistics Series)

Edición Destacada

ISBN 10:  0367383659 ISBN 13:  9780367383657
Editorial: Routledge, 2019
Tapa blanda