Statistical Methods In Molecular Evolution: Statistics For Biology And Health

Statistical methods play a vital role in the field of molecular evolution, providing researchers with the tools to analyze and interpret genetic data. This book provides a comprehensive overview of statistical methods in molecular evolution, with a focus on applications and real-world examples. The book is divided into three parts:

Statistical Methods in Molecular Evolution (Statistics for Biology and Health)

by Rasmus Nielsen

5 out of 5

Language	:	English
File size	:	10853 KB
Screen Reader	:	Supported
Print length	:	517 pages

FREE

1. Part I: to statistical methods in molecular evolution
2. Part II: Applications of statistical methods in molecular evolution
3. Part III: Advanced topics in statistical methods in molecular evolution

Part I: to statistical methods in molecular evolution

Part I provides an overview of the basic concepts of statistical methods in molecular evolution. This section covers topics such as:

• Probability and random variables
• Statistical inference
• Hypothesis testing
• Model selection

Part II: Applications of statistical methods in molecular evolution

Part II applies statistical methods to a variety of problems in molecular evolution. This section covers topics such as:

• Population genetics
• Phylogenetics
• Molecular epidemiology
• Comparative genomics

Part III: Advanced topics in statistical methods in molecular evolution

Part III covers advanced topics in statistical methods in molecular evolution. This section covers topics such as:

• Bayesian statistics
• Machine learning
• Statistical genomics

This book provides a comprehensive overview of statistical methods in molecular evolution. The book is written in a clear and concise style, and it is packed with real-world examples. This book is an essential resource for researchers and students in the fields of biology and health.

About the author

Dr. Ziheng Yang is a professor of statistical genetics at the University of California, Berkeley. He is the author of several books and papers on statistical methods in molecular evolution. Dr. Yang is a Fellow of the American Statistical Association and the Royal Statistical Society.

Statistical Methods in Molecular Evolution (Statistics for Biology and Health)

by Rasmus Nielsen

5 out of 5

Language	:	English
File size	:	10853 KB
Screen Reader	:	Supported
Print length	:	517 pages

FREE