Sunil K. Mathur
Statistical Bioinformatics with R
Gebonden Engels 2010 9780123751041Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
Statistical Bioinformatics provides a balanced treatment of statistical theory in the context of bioinformatics applications.
Designed for a one or two semester senior undergraduate or graduate bioinformatics course, the text takes a broad view of the subject – not just gene expression and sequence analysis, but a careful balance of statistical theory in the context of bioinformatics applications.
The inclusion of R & SAS code as well as the development of advanced methodology such as Bayesian and Markov models provides students with the important foundation needed to conduct bioinformatics.
Specificaties
Lezersrecensies
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Inhoudsopgave
1. Introduction
2. Genomics
3. Probability and Statistical Theory
4. Special Distributions, Properties and Applications
5. Statistical Inference and Applications6. Nonparametric Statistics
7. Bayesian Statistics
8. Markov Chain, Monte Carlo
9. Analysis of Variance
10. Design of Experiments
11. Multiple Testing of Hypotheses
2. Genomics
3. Probability and Statistical Theory
4. Special Distributions, Properties and Applications
5. Statistical Inference and Applications6. Nonparametric Statistics
7. Bayesian Statistics
8. Markov Chain, Monte Carlo
9. Analysis of Variance
10. Design of Experiments
11. Multiple Testing of Hypotheses
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