
- English
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eBook - ePub
Introduction to Statistical Methods in Modern Genetics
About this book
Though the basic statistical theory behind modern genetics is not that difficult, most statistical genetics papers are not easy to read for beginners, and fitting formulae to a particular area of application quickly becomes very tedious. Introduction to Statistical Methods in Modern Genetics makes a clear distinction between the necessary and unnecessary complexities. The author keeps the derivations of methods simple without losing the mathematical details. He also provides the necessary background in modern genetics for newcomers to the field, including discussion ranging from biological and molecular experiments to gene hunting and genetic engineering.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Introduction to Statistical Methods in Modern Genetics by M.C. Yang in PDF and/or ePUB format. We have over one million books available in our catalogue for you to explore.
Information
Topic
MathematicsIndex
MathematicsTable of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Table of Contents
- Introduction to the Series
- Preface
- Notations
- 1 Background to Modern Statistical Genetics
- 2 Linkage Analysis with Qualitative Trait
- 3 Genetics of Quantitative Trait
- 4 Special Topics
- Appendix A. Statistical Results Useful in Genetics
- Appendix B. Selected Public Domain Computer Programs for Genetic Data Analysis
- Answers or Hints to Exercises
- Bibliography