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Statistical Methods in Bioinformatics : an Introduction / by Warren J. Ewens, Gregory R. Grant.

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Advances in computers and biotechnology have had an immense impact on the biomedical fields, with broad consequences for humanity. Correspondingly, new areas of probability and statistics are being developed specifically to meet the needs of this area. There is now a necessity for a text that introd...

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Bibliographic Details
Online Access: Full Text (via Springer)
Main Author: Ewens, W. J. (Warren John)
Other Authors: Grant, Gregory R.
Format: eBook
Language:English
Published: New York, NY : Springer New York, 2001.
Series:Statistics for biology and health.
Subjects:
Statistics.
Medicine.
Biology > Data processing.
Table of Contents:
  • Probability Theory (i): One Random Variable
  • Probability Theory (ii): Many Random Variables
  • Statistics (i): An Introduction to Statistical Inference
  • Stochastic Processes (i): Poisson Processes and Markov Chains
  • The Analysis of One DNA Sequence
  • The Analysis of Multiple DNA or Protein Sequences
  • Stochastic Processes (ii): Random Walks
  • Statistics (ii): Classical Estimation and Hypothesis Testing
  • BLAST
  • Stochastic Processes (iii): Markov Chains
  • Hidden Markov Models
  • Computationally Intensive Methods
  • Evolutionary Models
  • Phylogenetic Tree Estimation
  • Appendix A: Basic Notions in Biology
  • Appendix B: Mathematical Formulae and Results
  • Appendix C: Computational Aspects of the Binomial and Generalized Geometric Distribution Functions
  • Appendix D: BLAST: Sums of Normalized Scores
  • References
  • Author Index
  • Index.

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