Statistical Bioinformatics with R

Sunil K Mathur

ISBN 10: 0123751047 / ISBN 13: 9780123751041

Published by Elsevier Science, 2010

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9780123751041

Bibliographic Details

• Title: Statistical Bioinformatics with R
• Publisher: Elsevier Science
• Publication Date: 2010
• Language: English
• ISBN 10: 0123751047
• ISBN 13: 9780123751041
• Binding: Buch
• Condition: Neu

About this title

Synopsis

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.

• 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

Product Description

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.