Introduction to computer-intensive methods of data analysis in biology / Derek A. Roff.

Format:

Book

Author/Creator:

Roff, Derek A., 1949-

Contributor:

Rudolph G. Schmieder Fund.

Language:

English

Subjects (All):

Biology--Data processing.

Biology.

Systems Biology.

Data Interpretation, Statistical.

Biometry.

Medical Subjects:

Systems Biology.

Data Interpretation, Statistical.

Biometry.

Physical Description:

vii, 368 pages : illustrations ; 26 cm

Place of Publication:

Cambridge, UK ; New York : Cambridge University Press, 2006.

Summary:

This 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 Bootstrap, 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 available consistently in statistical software packages and often require more detailed instructions. The purpose of this book therefore, is to introduce some of the more 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 is provided, along with problems and solutions for each chapter.

Contents:

1 An Introduction to Computer-intensive Methods 1

2 Maximum Likelihood 9

3 The Jackknife 42

4 The Bootstrap 66

5 Randomization and Monte Carlo Methods 102

6 Regression Methods 157

7 Bayesian Methods 204

Appendix A An Overview of S-PLUS Methods Used in this Book 242

Appendix B Brief Description of S-PLUS Subroutines Used in this Book 249

Appendix C S-PLUS Codes Cited in Text 253.

Notes:

Includes bibliographical references (pages 233-241) and index.

Local Notes:

Acquired for the Penn Libraries with assistance from the Rudolph G. Schmieder Fund.

ISBN:

0521846285

9780521846288

0521608651

9780521608657

OCLC:

63164893

Publisher Number:

9780521846288 (hardback)

9780521608657 (paperback)

Online:

Publisher description