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
Integrates biological, statistical and computational
conceptsInclusion of R & SAS codeProvides coverage of complex
statistical methods in context with applications in
bioinformaticsExercises and examples aid teaching and learning
presented at the right levelBayesian methods and the modern
multiple testing principles in one convenient book"
General
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