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Dehmer, Matthias

Statistical Diagnostics for Cancer: Analyzing High-Dimensional Data

Dehmer, Matthias - Statistical Diagnostics for Cancer: Analyzing High-Dimensional Data, ebook

105,70€

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ISBN: 9783527665457
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This ready reference discusses different methods for statistically analyzing and validating data created with high-throughput methods. As opposed to other titles, this book focusses on systems approaches, meaning that no single gene or protein forms the basis of the analysis but rather a more or less complex biological network. From a methodological point of view, the well balanced contributions describe a variety of modern supervised and unsupervised statistical methods applied to various large-scale datasets from genomics and genetics experiments. Furthermore, since the availability of sufficient computer power in recent years has shifted attention from parametric to nonparametric methods, the methods presented here make use of such computer-intensive approaches as Bootstrap, Markov Chain Monte Carlo or general resampling methods. Finally, due to the large amount of information available in public databases, a chapter on Bayesian methods is included, which also provides a systematic means to integrate this information. A welcome guide for mathematicians and the medical and basic research communities.

Keywords: highthroughput; methods; reference; cancer; different; discusses; statistically; data; ready; contrast; book; approaches; focuses; single; analysis; basis; gene; complex; orless; biological; nature; due; methodological; view; point, Bioinformatics & Computational Biology, Medical Statistics & Epidemiology, Biostatistics, Bioinformatics & Computational Biology, Medical Statistics & Epidemiology, Biostatistics

Editor
 
Publisher
John Wiley and Sons, Inc.
Publication year
2012
Language
en
Edition
1
Series
Quantitative and Network Biology (VCH)
Page amount
312 pages
Category
Medicine, Health Care, Mode
Format
Ebook
eISBN (ePUB)
9783527665457
Printed ISBN
9783527332625

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