Bayesian Modeling in Bioinformatics

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 ov...

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Bibliographic Details
Main Author: Dipak K. Dey
Format: Printed Book
Published: Chapman and Hall/CRC 2011
Series:Chapman & Hall/CRC biostatistics series, 34.
Subjects:
Bioinformatics > Statistical methods. Bayesian statistical decision theory. Computational biology > Methods.
Table of Contents:
  • Estimation and testing in time-course microarray experiments / C. Angelini, D. De Canditiis, and M. Pensky
  • Classification for differential gene expression using Bayesian hierarchical models / Natalia Bochkina and Alex Lewin
  • Applications of MOSS for discrete multi-way data / Adrian Dobra [and others]
  • Nonparametric Bayesian bioinformatics / David B. Dunson
  • Measurement error and survival model for cDNA micro-arrays / Jonathan A.L. Gelfond and Joseph G. Ibrahim
  • Bayesian robust inference for differential gene expression / Raphael Gottardo
  • Bayesian hidden Markov modeling of array CGH data / Subharup Guha
  • Bayesian approaches to phylogenetic analysis / Mark T. Holder, Jeet Sukumaran, and Rafe M. Brown
  • Gene selection for the identification of biomarkers in high-throughout data / Jaesik Jeong [and others]
  • Sparsity priors for protein-protein interaction predictions / Inyoung Kim, Yin Liu, and Hongyu Zhao
  • Learning Bayesian networks for gene expression data / Farning Liang
  • In-vitro to in-vivo factor profiling in expression genomics / Joseph E. Lucas [and others]
  • Proportional hazards regression using Bayesian kernel machines / Arnab Maity and Bani K. Mallick
  • A Bayesian mixture model for protein biomarker discovery / Peter Müller [and others]
  • Bayesian methods for detecting differentially expressed genes / Fang Yu, Ming-Hui Chen, and Lynn Kuo
  • Bayes and empirical Bayes methods for spotted microarray data analysis / Dabao Zhang
  • Bayesian Classification method for QTL mapping / Min Zhang.

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