Author: Warren J. Ewens
Edition: 2nd
Binding: Hardcover
ISBN: 0387400826
Publisher: Springer
Edition: 2nd
Binding: Hardcover
ISBN: 0387400826
Publisher: Springer

Statistical Methods in Bioinformatics: An Introduction (Statistics for Biology and Health)
Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can now be generated to address extremely complex biological questions.
Categories: Bioinformatics->Statistical methods, Probability and Statistics * General. Contributors: Warren J. Ewens - Author. Format: Paperback
Correspondingly, advances in the statistical methods necessary to analyze such data are following closely behind the advances in data generation methods. The statistical methods required by bioinformatics present many new and difficult problems for the research community. This book provides an introduction to some of these new methods.AThe main biological topics treated include sequence analysis, BLAST, microarray analysis, gene finding, and the analysis of evolutionary processes.AThe main statistical techniques covered include hypothesis testing a
Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
Probablistic models are becoming increasingly important in analyzing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden

Computational Genome Analysis: An Introduction (Statistics for Biology and Health)
This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and mark

An Introduction to Bioinformatics Algorithms (Computational Molecular Biology)
This introductory text offers a clear exposition of the algorithmic principles driving advances in bioinformatics. Accessible to students in both biology and computer science, it strikes a unique bala

Using R for Introductory Statistics (Chapman & Hall/CRC The R Series)
The cost of statistical computing software has precluded many universities from installing these valuable computational and analytical tools. R, a powerful open-source software package, was created in

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