---

＜電子ブック＞
Statistical Methods in Human Genetics / by Indranil Mukhopadhyay, Partha Pratim Majumder
(Indian Statistical Institute Series. ISSN:25233122)

版	1st ed. 2023.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2023
本文言語	英語
大きさ	XIV, 274 p. 40 illus., 16 illus. in color : online resource
著者標目	*Mukhopadhyay, Indranil author Majumder, Partha Pratim author SpringerLink (Online service)
件　名	LCSH:Medical genetics LCSH:Bioinformatics LCSH:Statistics  FREE:Medical Genetics FREE:Bioinformatics FREE:Statistical Theory and Methods FREE:Applied Statistics
一般注記	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 HTTP:URL=https://doi.org/10.1007/978-981-99-3220-7

 類似資料