關於本電子書
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 c
關於作者
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.
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