Statistical Methods in Human Genetics
Language: English
Published by Springer Nature Singapore, 2023
- Hardcover
- Used

Seller: Buchpark, Trebbin, GermanyBuchpark
AbeBooks seller since September 30, 2021
Condition: Used - Fine
US$ 81.73
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Add to basketItem description from seller
Zustand: Sehr gut | Seiten: 288 | Sprache: Englisch | Produktart: Bücher | This book provides an overview of statistical concepts and basic methodology for the study of genetics of human traits and diseases. It attempts to provide a step-by-step description of problem identification, study design, methodology of data collection, data exploration, data summarization and visualization, and more advanced analytical methods for inferring genetic underpinnings of human phenotypes. The book provides codes in R programming language for implementation of most of the statistical methods described, which will enable practitioners to perform analysis of data on their own, without having to mold the data to fit the requirements of commercial statistical packages. Useful to anyone engaged in studies to understand and manage good health, the book is a useful guide for sustainable development of humankind. Primarily intended for practicing biologists especially those who carry out quantitative biological research, in particular, human geneticists, the book is also helpful in classroom teaching.…
Seller Inventory # 41706788/2
- Title
- Statistical Methods in Human Genetics
- Author
- Partha Pratim Majumder, Indranil Mukhopadhyay
- Publisher
- Springer Nature Singapore
- Publication year
- 2023
- Condition
- Sehr gut
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 981993219X
- ISBN 13
- 9789819932191
- Seller catalogs
- Bücher
This book provides an overview of statistical concepts and basic methodology for the study of genetics of human traits and diseases. It attempts to provide a step-by-step description of problem identification, study design, methodology of data collection, data exploration, data summarization and visualization, and more advanced analytical methods for inferring genetic underpinnings of human phenotypes. The book provides codes in R programming language for implementation of most of the statistical methods described, which will enable practitioners to perform analysis of data on their own, without having to mold the data to fit the requirements of commercial statistical packages. Useful to anyone engaged in studies to understand and manage good health, the book is a useful guide for sustainable development of humankind. Primarily intended for practicing biologists especially those who carry out quantitative biological research, in particular, human geneticists, the book is also helpful in classroom teaching.
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