Statistical Bioinformatics Epub

Author: Jae K. Lee
Edition: 1
Publisher: Wiley-Blackwell
Binding: Paperback
ISBN: 0471692727

Statistical Bioinformatics: For Biomedical and Life Science Researchers (Methods of Biochemical Analysis)

This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. Medical books Statistical Bioinformatics. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology. Chapters begin with a description of a statistical concept and a current example from biomedical research, followed by more detailed presentation, discussion of limitations, and problems. The book starts with an introduction to probability and statistics for genome-wide data, and moves into topics such as clustering, classification, multi-dimensional visualization, experimental design, statistical resampling, and statistical network analysis.

Clearly explains the use of bioinformatics tools in life sciences research without requiring an advanced background in math/statistics
Enables biomedical and life sciences researchers to successfully evaluate the validity of their results and make inferences
Enables statistical and quantitative researchers to rapidly learn novel statistical concepts and techniques appropriate for large biological data analysis
Carefully revisits frequently used statistical approaches and highlights their limitations in large biological data analysis
Offers programming examples and datasets
Includes chapter problem sets, a glossary, a list of statistical notations, and appendices with references to background mathematical and technical material
Features supplementary materials, including datasets, links, and a statistical package available online

Statistical Bioinformatics is an ideal textbook for students in medicine, life sciences, and bioengineering, aimed at researchers who utilize computational tools for the analysis of genomic, proteomic, and many other emerging high-throughput molecular data Medical books Handbook of Statistical Bioinformatics. Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types of high throughput data that demand the development of efficient and appropriate tools in computational statistics integrated with biological knowledge and computational algorithms. This volume collects contributed chapters from leading researchers to survey the many active research topics and promote the visibility of this research area. This volume is intended to provide an introductory and reference book for students and researchers who are interested in the recent developments of computational statistics in computational biology.

Download link for Handbook of Statistical Bioinformatics

Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types of high throughput data that demand the development of efficient and appropriate tools in computational statistics integrated with biological knowledge and computational algorithms. This volume collects contributed chapters from leading researchers to survey the many active research topics and promote the visibility of this research area. This volume is intended to provide an introductory and reference book for students and researchers who are interested in the recent developments of computationa

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,

Store Search search Title, ISBN and Author Statistical Bioinformatics by Sunil K. Mathur Estimated delivery 3-12 business days Format Hardcover Condition Brand New 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. Publisher Description Designed for a one or two semester senior unde

Handbook of Statistical Bioinformatics

Medical Book Statistical Bioinformatics

The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology. Chapters begin with a description of a statistical concept and a current example from biomedical research, followed by more detailed presentation, discussion of limitations, and problems. The book starts with an introduction to probability and statistics for genome-wide data, and moves into topics such as clustering, classification, multi-dimensional visualization, experimental design, statistical resampling, and statistical network analysis.

Clearly explains the use of bioinformatics tools in life sciences research without requiring an advanced background in math/statistics
Enables biomedical and life sciences researchers to successfully evaluate the validity of their results and make inferences
Enables statistical and quantitative researchers to rapidly learn novel statistical concepts and techniques appropriate for large biological data analysis
Carefully revisits frequently used statistical approaches and highlights their limitations in large biological data analysis
Offers programming examples and datasets
Includes chapter problem sets, a glossary, a list of statistical notations, and appendices with references to background mathematical and technical material
Features supplementary materials, including datasets, links, and a statistical package available online