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 … Mehr…
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. Integrates biological, statistical and computational concepts Inclusion of R & SAS code Provides coverage of complex statistical methods in context with applications in bioinformatics Exercises and examples aid teaching and learning presented at the right level Bayesian methods and the modern multiple testing principles in one convenient book Science Science eBook, Elsevier Science<
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 se… Mehr…
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. This book integrates biological, statistical and computational concepts. It includes R & SAS code. It provides coverage of complex statistical methods in context with applications in bioinformatics. Exercises and examples aid teaching and learning presented at the right level. Bayesian methods and the modern multiple testing principles are presented in this one convenient book.; Science & Nature, Academic Press<
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 se… Mehr…
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. This book integrates biological, statistical and computational concepts. It includes R & SAS code. It provides coverage of complex statistical methods in context with applications in bioinformatics. Exercises and examples aid teaching and learning presented at the right level. Bayesian methods and the modern multiple testing principles are presented in this one convenient book.; Science & Nature, Academic Press<
Hardback, [PU: Elsevier Science Publishing Co Inc], Provides coverage of complex statistical methods in context with applications in bioinformatics. This book integrates biological, stati… Mehr…
Hardback, [PU: Elsevier Science Publishing Co Inc], Provides coverage of complex statistical methods in context with applications in bioinformatics. This book integrates biological, statistical and computational concepts. It includes R & SAS code. It presents Bayesian methods and the modern multiple testing principles., Biology, Life Sciences<
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 … Mehr…
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. Integrates biological, statistical and computational concepts Inclusion of R & SAS code Provides coverage of complex statistical methods in context with applications in bioinformatics Exercises and examples aid teaching and learning presented at the right level Bayesian methods and the modern multiple testing principles in one convenient book Science Science eBook, Elsevier Science<
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 se… Mehr…
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. This book integrates biological, statistical and computational concepts. It includes R & SAS code. It provides coverage of complex statistical methods in context with applications in bioinformatics. Exercises and examples aid teaching and learning presented at the right level. Bayesian methods and the modern multiple testing principles are presented in this one convenient book.; Science & Nature, Academic Press<
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 se… Mehr…
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. This book integrates biological, statistical and computational concepts. It includes R & SAS code. It provides coverage of complex statistical methods in context with applications in bioinformatics. Exercises and examples aid teaching and learning presented at the right level. Bayesian methods and the modern multiple testing principles are presented in this one convenient book.; Science & Nature, Academic Press<
Hardback, [PU: Elsevier Science Publishing Co Inc], Provides coverage of complex statistical methods in context with applications in bioinformatics. This book integrates biological, stati… Mehr…
Hardback, [PU: Elsevier Science Publishing Co Inc], Provides coverage of complex statistical methods in context with applications in bioinformatics. This book integrates biological, statistical and computational concepts. It includes R & SAS code. It presents Bayesian methods and the modern multiple testing principles., Biology, Life Sciences<
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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 models provides students with the important foundation needed to conduct bioinformatics.
Detailangaben zum Buch - Statistical Bioinformatics with R
Buch in der Datenbank seit 2008-01-07T22:14:25+01:00 (Berlin) Detailseite zuletzt geändert am 2023-06-27T19:06:49+02:00 (Berlin) ISBN/EAN: 9780123751041
ISBN - alternative Schreibweisen: 0-12-375104-7, 978-0-12-375104-1 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: mathur, sunil Titel des Buches: bioinformatics
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