Introduction to Computer-Intensive Methods of Data Analysis in Biology

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Introduction to Computer-Intensive Methods of Data Analysis in Biology

By Derek A. Roff

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This 2006 guide to the contemporary toolbox of methods for data analysis will serve graduate students and researchers across the biological sciences. Modern computational tools, such as Maximum Likelihood, Monte Carlo and Bayesian methods, mean that data analysis no longer depends on elaborate assumptions designed to make analytical approaches tractable. These new 'computer-intensive' methods are currently not consistently available in statistical software packages and often require more detailed instructions. The purpose of this book therefore is to introduce some of the most common of these methods by providing a relatively simple description of the techniques. Examples of their application are provided throughout, using real data taken from a wide range of biological research. A series of software instructions for the statistical software package S-PLUS are provided along with problems and solutions for each chapter.

Subject: Allied Health & Medical -> Medical -> Biostatistics

Introduction to Computer-Intensive Methods of Data Analysis in Biology
1st edition
Publisher: Cambridge University Press 5/25/06
Imprint: Cambridge University Press
Language: English

ISBN 10: 0511217706
ISBN 13: 9780511217708
Print ISBN: 9780521846288

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