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Saturday, 30 March 2013

Statistical Bioinformatics

Posted on 16:44 by Unknown
Statistical Bioinformatics
Author: Sunil K. Mathur
Edition: 1
Binding: Hardcover
ISBN: 0123751047
Publisher: Academic Press

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Statistical Bioinformatics: with R



Designed for a one or two semester senior undergraduate or graduate bioinformatics course, Statistical Bioinformatics takes a broad view of the subject - not just gene expression and sequence analysis, but a careful balance of statistical theory in the context of bioinformatics applications.
Statistical Bioinformatics: A Guide for Life and Biomedical Science Researchers
The inclusion of RA code as well as the development of advanced methodology such as Bayesian and Markov models provides students with the important foundation needed to conduct bioinformatics. Ancillary list: * Online ISM- http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123751041 * Companion Website w/ R code and Ebook- http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123751041 * Powerpoint slides- http://textbooks.elsevier.com/web/Manuals.aspx?isbn=9780123751041Integrates biological, statistic

R Cookbook (O'Reilly Cookbooks)


With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure ca

Bioinformatics Programming Using Python: Practical Programming for Biological Data


Powerful, flexible, and easy to use, Python is an ideal language for building software tools and applications for life science research and development. This unique book shows you how to program with

Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition (Chapman & Hall/CRC Mathematical & Computational Biology)


Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techn

Practical Computing for Biologists


Increasingly, scientists find themselves facing exponentially larger data sets and analyses without suitable tools to deal with them. Many biologists end up using spreadsheet programs for most of thei

Statistical Methods in Bioinformatics: An Introduction (Statistics for Biology and Health)


Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can now be generated to address extremely complex biological questions. Cor

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