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Statistical Diagnostics for Cancer

By Frank Emmert-Streib

Product Image: Statistical Diagnostics for Cancer

Statistical Diagnostics for Cancer

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Description
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.
Product details
Edition:
1
Number of Pages:
312
Release Date:
2013-01-16
Publication Date:
2013-01-16
Publisher:
Wiley VCH Verlag GmbH
Languages:
Original: English
ISBN10:
3527332626
ISBN13:
9783527332625
Weight:
804 g
Height:
174 cm
Width:
249 cm
Thickness:
22 cm
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