Statistics in Human Genetics
Auteur : Sham Pak
Rigorous statistical analysis methods for human genetics application
Statistics in Human Genetics explores the statistical analysis methods that are critical to good science. Beginning with a brief review of genes, gene structure, variation, and terminology, the book moves into analysis of segregation, genetic linkage, allelic associations, and continuity for a wide range of conditions. From the classic Hardy-Weinberg equation to advanced modeling, algorithms and more, this book provides authoritative guidance toward methods, analysis, and applications for anyone performing quantitative analysis of human genetics.
Introduction.
The analysis of segregation and population frequency.
The analysis of genetic linkage.
The analysis of allelic associations.
The analysis of continuous and quasi-continuous channel.
References.
Index
Pak Chung Sham is a psychiatric geneticist. He holds the Suen Chi-Sun Professorship in Clinical Science at the University of Hong Kong, where he is also the Chair Professor in Psychiatric Genomics, Director of the Centre for Genomic Sciences, and Director of Academic Developments in the Department of Psychiatry.
Date de parution : 12-1997
Ouvrage de 300 p.
15.8x23.4 cm
Thème de Statistics in Human Genetics :
Mots-clés :
genetics analysis; genetics data; statistics for genetics; genetics statistical methods; Hardy-Weinberg analysis; genetics calculations; genetics data interpretation; genetics estimations and analysis; genetic data calculations; genetics segregation analysis; allelic association analysis; genetic linkage analysis; lab statistics; laboratory math
