Statistical Methods in Bioinformatics An Introduction /

• Main Authors: Ewens, Warren J. (Author), Grant, Gregory (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2005.
• Edition: Second Edition.
• Series: Statistics for Biology and Health,
• Subjects: Life sciences.; Epidemiology.; Bioinformatics.; Biochemistry.; Biomathematics.; Statistics.; Life Sciences.; Biochemistry, general.; Computational Biology/Bioinformatics.; Mathematical and Computational Biology.; Statistics for Life Sciences, Medicine, Health Sciences.

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. Correspondingly, advances in the statistical methods necessary to analyze such data are following close...

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 Theory
• Statistics (iii): Classical Hypothesis Testing Theory
• BLAST
• Stochastic Processes (iii): Markov Chains
• Hidden Markov Models
• Gene Expression, Microarrays, and Multiple Testing
• Evolutionary Models
• Phylogenetic Tree Estimation.