| Dewey Class |
616.042 |
| Title |
Statistical Methods in Human Genetics (EBook /) / by Indranil Mukhopadhyay, Partha Pratim Majumder. |
| Author |
Mukhopadhyay, Indranil |
| Added Personal Name |
Majumder, Partha Pratim |
| Other name(s) |
SpringerLink (Online service) |
| Edition statement |
1st ed. 2023. |
| Publication |
Singapore : : Springer Nature Singapore : : Imprint: Springer, , 2023. |
| Physical Details |
XIV, 274 p. 40 illus., 16 illus. in color. : online resource. |
| Series |
Indian Statistical Institute Series 2523-3122 |
| ISBN |
9789819932207 |
| Summary Note |
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.: |
| Contents note |
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. |
| Mode of acces to digital resource |
Digital reproduction.- |
| Cham : |
| Springer International Publishing, |
| 2023. - |
| Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format. |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users). |
| Internet Site |
https://doi.org/10.1007/978-981-99-3220-7 |
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