Statistical Methods in Bioinformatics An Introduction
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...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
2005, 2005
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| Edition: | 2nd ed. 2005 |
| Series: | Statistics for Biology and Health
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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