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Statistical methods in human genetics
~
Mukhopadhyay, Indranil.
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Statistical methods in human genetics
Record Type:
Electronic resources : Monograph/item
Title/Author:
Statistical methods in human genetics/ by Indranil Mukhopadhyay, Partha Pratim Majumder.
Author:
Mukhopadhyay, Indranil.
other author:
Majumder, Partha P.
Published:
Singapore :Springer Nature Singapore : : 2023.,
Description:
xiv, 274 p. :ill., digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer Nature eBook
Subject:
Human genetics - Statistical methods. -
Online resource:
https://doi.org/10.1007/978-981-99-3220-7
ISBN:
9789819932207
Statistical methods in human genetics
Mukhopadhyay, Indranil.
Statistical methods in human genetics
[electronic resource] /by Indranil Mukhopadhyay, Partha Pratim Majumder. - Singapore :Springer Nature Singapore :2023. - xiv, 274 p. :ill., digital ;24 cm. - Indian statistical institute series,2523-3122. - Indian statistical institute series..
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.
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.
ISBN: 9789819932207
Standard No.: 10.1007/978-981-99-3220-7doiSubjects--Topical Terms:
714297
Human genetics
--Statistical methods.
LC Class. No.: QH438.4.S73 / M84 2023
Dewey Class. No.: 576.50727
Statistical methods in human genetics
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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.
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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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Mathematics and Statistics (SpringerNature-11649)
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EB QH438.4.S73 M84 2023
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