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

About the Author

Dr. Sunil Mathur is a distinguished professor of Biostatistics at Weill Cornell Medical College and a full member of both the Houston Methodist Academic Institute and the Houston Methodist Neal Cancer Center. He serves as the Director of Biostatistics and Co-Director of the Biostatistics and Bioinformatics Shared Resources at the Houston Methodist Neal Cancer Center and the Houston Methodist Research Institute. Dr. Mathur has previously held several key positions: he was a Professor and Chair of the Department of Mathematics and Statistics and Assistant to the Dean for Research Development at Texas A&M University-Corpus Christi; a Professor and Director of the Research Support Center at Augusta University’s Medical College of Georgia; an Associate Professor at the School of Public Health, University of Memphis; and an Associate Professor and Director of the Statistical Consulting Center at the University of Mississippi. Dr. Mathur is the Editor-in-Chief of the American Journal of Statistical Science and Applications and serves as an Associate Editor for multiple journals, including the Journal of Applied Statistics and the International Journal of Statistics and Systems. He is also on the editorial boards of the Global Journal of Medicine and Public Health and the Austin Journal of Public Health and Epidemiology. He has successfully secured over $50 million in external grant funding from various sources, including the NIH, DOD, NSF, DOE, and the US Army as PI/Co-PI/Co-I. Dr. Mathur reviews grant proposals for the National Science Foundation, DOD, and other agencies, and he is a member of the Data Safety and Monitoring Board for NIH grants. His contributions have been recognized with numerous awards, such as the Digital Innovator of the Year Award and the Graduate Resource and Opportunity Workspace Friends Award. Dr. Mathur is currently the President of the San Antonio Chapter of the American Statistical Association and a former President of the Texas Association of Academic Administrators in the Mathematical Sciences (T3AMS). He is an elected member of the International Statistical Institute and is a member of the American Statistical Association and the International Indian Statistical Association, USA.

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