Statisical 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...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Ausgabe: | Second Edition. |
| Schriftenreihe: | Statistics for Biology and Health
|
| Online Zugang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Three decades of mathematical system theory, a collection of surveys at the occasion of the 50th birthday of Jan C. Willems, H. Nijmeijer, J.M. Schuhmacher, editors, Berlin, Springer-Verlag, 1989, 1 volume (vi-562 pages), Lecture notes in control and information sciences, 0-387-51605-0 • Statistical methods in bioinformatics, an introduction, Warren J. Ewens, Gregory R. Grant, 2nd edition, 2005, New York, Springer, 1 vol. (XX-597 p.), Statistics for biology and health, 0-387-40082-6 • Statistical methods in bioinformatics, an introduction, Warren J. Ewens, Gregory R. Grant, 2nd edition, 2005, New York, Springer, 1 vol. (XX-597 p.), Statistics for biology and health, 0-387-40082-6 |
Inhaltsangabe:
- 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