
Applied Computational Genomics
Yin Yao(Editor)
Springer (Publisher)
2nd Edition
Published on 8. February 2019
Book
Paperback/Softback
VII, 150 pages
978-981-13-4561-6 (ISBN)
Description
The volume provides a review of statistical development and application in the area of human genomics, including candidate gene mapping, linkage analysis, population-based genome-wide association, exon sequencing, and whole genome sequencing analysis. The authors are extremely experienced in the field of statistical genomics and will give a detailed introduction to the evolution of the field, as well as critical comments on the advantages and disadvantages of the proposed statistical models. The future directions of translational biology will also be described.
More details
Series
Edition
Second Edition 2018
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Edition type
Revised edition
Illustrations
13 farbige Abbildungen, 1 s/w Abbildung
VII, 150 p. 14 illus., 13 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 9 mm
Weight
287 gr
ISBN-13
978-981-13-4561-6 (9789811345616)
DOI
10.1007/978-981-13-1071-3
Schweitzer Classification
Other editions
Additional editions

Yin Yao
Applied Computational Genomics
Book
09/2018
2nd Edition
Springer
€106.99
Shipment within 15-20 days
Person
Dr. Yin Yao is investigator in the Intramural Research Program at the National Institute of Mental Health, Bethesda, Maryland USA.
Content
Introduction.- Exploring Polygenic Overlap Between ADHD and OCD.- Concepts of Genetic Epidemiology.- Rare Variants Analysis in Unrelated Individuals.- Whole Genome Association of Treatment Response in OCD.- QTL Mapping of Molecular Traits for Studies of Human Complex Diseases.- From Family Study to Population Study: A History of Genetic Mapping for Nasopharyngeal Carcinoma (NPC).- Test for Nonlinear Dependence of Two Continuous Variables.- Analytical Approaches for Exome Sequence Data.- Machine Learning Approaches: Data Integration for Disease Prediction and Prognosis.- OCD Genomics and Future Looks.