Bayesian Inference for Gene Expression and Proteomics

Language: English

Published by Cambridge University Press, 2012

1107636981 / 9781107636989

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - The interdisciplinary nature of bioinformatics presents a research challenge in integrating concepts, methods, software and multiplatform data. Although there have been rapid developments in new technology and an inundation of 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 that arise from medical, in particular, cancer research, as well as molecular and structural biology. The Bayesian approach has the advantage that evidence can be easily and flexibly incorporated into statistical methods. A basic overview of the biological and technical principles behind multi-platform high-throughput experimentation is followed by expert reviews of Bayesian methodology, tools and software for single group inference, group comparisons, classification and clustering, motif discovery and regulatory networks, and Bayesian networks and gene interactions.

Seller Inventory # 9781107636989

Title
Bayesian Inference for Gene Expression and Proteomics
Author
Marina Vannucci
Publisher
Cambridge University Press
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1107636981
ISBN 13
9781107636989
Item weight
672 grams
Dimensions
229x152x25 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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