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Applied Computational Genomics: Translational Bioinformatics, cartea 13

Editat de Yin Yao
en Limba Engleză Paperback – 8 feb 2019
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.
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Specificații

ISBN-13: 9789811345616
ISBN-10: 9811345619
Ilustrații: VII, 150 p. 14 illus., 13 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:Softcover reprint of the original 2nd ed. 2018
Editura: Springer Nature Singapore
Colecția Springer
Seria Translational Bioinformatics

Locul publicării:Singapore, Singapore

Cuprins

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.

Notă biografică

Dr. Yin Yao is investigator in the Intramural Research Program at the National Institute of Mental Health, Bethesda, Maryland USA. ​

Textul de pe ultima copertă

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.

Caracteristici

Provides detailed introduction for the evolution of the field Reviews statistical development and application in the area of human genomics Describes the view of future direction towards translational biology ?