Statistical Methods in Human Genetics - Mukhopadhyay, Indranil; Majumder, Partha Pratim; - Prospero Internet Bookshop
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Product details:
ISBN13:9789819932221
ISBN10:981993222X
Binding:Paperback
No. of pages:274 pages
Size:235x155 mm
Language:English
Illustrations: 24 Illustrations, black & white; 16 Illustrations, color
695
Category:

Statistical Methods in Human Genetics

 
Publisher: Springer
Date of Publication:
Number of Volumes: 1 pieces, Book
 
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Publisher's listprice:
EUR 139.09
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59 294 HUF (56 470 HUF + 5% VAT)
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Short description:

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.

Long description:

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.

Table of Contents:
Introduction to analysis of human genetic data.- Basic understanding of single gene expression data.- Basic probability theory and inference.- Analysis of single gene expression data.- Analysis of gene expression data in a dependent set up.- Tying genomes with disease.- Some extensions of genetic association study.- Exploring multivariate data.