國立高雄大學圖資館 |

登入

回首頁

Statistical methods in human genetics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Statistical methods in human geneticsby Indranil Mukhopadhyay, Partha Pratim Majumder.
作者:	Mukhopadhyay, Indranil.
其他作者:	Majumder, Partha P.
出版者:	Singapore :Springer Nature Singapore :2023.
面頁冊數:	xiv, 274 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Human geneticsStatistical methods.
電子資源:	https://doi.org/10.1007/978-981-99-3220-7
ISBN:	9789819932207$q(electronic bk.)

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$q(electronic bk.)

Standard No.: 10.1007/978-981-99-3220-7doiSubjects--Topical Terms:

217011
Human genetics
--Statistical methods.

LC Class. No.: QH438.4.S73 / M84 2023

Dewey Class. No.: 576.50727

Statistical methods in human genetics
LDR:02449nmm a2200337 a 4500 001 652240
003 DE-He213
005 20231010082044.0
006 m d
007 cr nn 008maaau
008 240327s2023 si s 0 eng d
020 $a 9789819932207$q(electronic bk.)
020 $a 9789819932191$q(paper)
024 7 $a 10.1007/978-981-99-3220-7 $2 doi
035 $a 978-981-99-3220-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QH438.4.S73 $b M84 2023
072 7 $a MFN $2 bicssc
072 7 $a MED107000 $2 bisacsh
072 7 $a MFN $2 thema
082 0 4 $a 576.50727 $2 23
090 $a QH438.4.S73 $b M953 2023
100 1 $a Mukhopadhyay, Indranil. $3 962693
245 1 0 $a Statistical methods in human genetics $h [electronic resource] / $c by Indranil Mukhopadhyay, Partha Pratim Majumder.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a xiv, 274 p. : $b ill., digital ; $c 24 cm.
490 1 $a Indian statistical institute series, $x 2523-3122
505 0 $a 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.
520 $a 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.
650 0 $a Human genetics $x Statistical methods. $3 217011
650 1 4 $a Medical Genetics. $3 911830
650 2 4 $a Bioinformatics. $3 194415
650 2 4 $a Statistical Theory and Methods. $3 274054
650 2 4 $a Applied Statistics. $3 805583
700 1 $a Majumder, Partha P. $3 962694
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Indian statistical institute series. $3 816323
856 4 0 $u https://doi.org/10.1007/978-981-99-3220-7
950 $a Mathematics and Statistics (SpringerNature-11649)