By
Sunil Mathur, Director, Statistical Computing and Consulting Center
University of Mississippi, Oxford, USA
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 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.
Ancillary list:
*
Online ISM- http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123751041
* Companion Website w/ R code and Ebook- http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123751041
*
Powerpoint slides- http://textbooks.elsevier.com/web/Manuals.aspx?isbn=9780123751041
