E-Books →Bayesian Inference for Gene Expression and Proteomics

Bayesian Inference for Gene Expression and Proteomics by Marina Vannucci, Kim-Anh Do and Peter Müller
English | ISBN: 052186092X | 2006 | PDF | 456 pages | 8,3 mb
The interdisciplinary nature of bioinformatics presents a challenge in integrating concepts, methods, software, and multi-platform data. Although there have been rapid developments in new technology and an inundation of statistical methodology and software for the analysis of microarray gene expression arrays, there exist few rigorous statistical methods for addressing other types of high-throughput data, such as proteomic profiles that arise from mass spectrometry experiments. This book discusses the development and application of Bayesian methods in the analysis of high-throughput bioinformatics data, from medical research and molecular and structural biology.