Bayesian modeling in bioinformatics (2011) Pdf Free Download

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Features of Bayesian modeling in bioinformatics (2011) PDF free download:


Recent advances in genome sequencing (genomics) and protein identification (proteomics) have given rise to challenging research problems that require combined expertise from statistics, biology, computer science, and other fields. Similar challenges arise dealing with modeling genetic data in the form of sequences of various types, e.g., SNIP, RAPD, and microsatellite data. The interdisciplinary nature of bioinformatics presents many research challenges related to integrating concepts, methods, software, and multi-platform data. In addition to new tools for investigating biological systems via high-throughput genomic and proteomic measurements, statisticians face many novel methodological research questions generated by such data. The work in this volume is dedicated to the development and application of Bayesian statistical methods in the analysis of high-throughput bioinformatics data that arise from problems in medical research, in particular cancer and other disease related research, molecular and structural biology.

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