Statistical Bioinformatics with R - Sunil K Mathur
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Designed for a one- or two-semester senior undergraduate or graduate bioinformatics course, Statistical Bioinformatics 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 and SAS code as well as the development of advanced methodology such as Bayesian and Markov model ... Full description
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Description
Designed for a one- or two-semester senior undergraduate or graduate bioinformatics course, Statistical Bioinformatics 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 and 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.
More Information
| Author | Sunil K Mathur |
|---|---|
| Publisher | Elsevier Science |
| Release year | 2010 |
| Cover type | Hardcover |
| EAN | 9780123751041 |