Applied Computational Genomics

Yin Yao (Herausgeber)

Buch | Hardcover

150 Seiten

2018 | 2nd ed. 2018
Springer Verlag, Singapore
978-981-13-1070-6 (ISBN)

Artikel merken

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.

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

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.

Erscheinungsdatum	01.10.2018
Reihe/Serie	Translational Bioinformatics ; 13
Zusatzinfo	13 Illustrations, color; 1 Illustrations, black and white; VII, 150 p. 14 illus., 13 illus. in color.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Informatik ► Weitere Themen ► Bioinformatik
	Medizin / Pharmazie ► Medizinische Fachgebiete
	Studium ► 2. Studienabschnitt (Klinik) ► Humangenetik
	Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie
	Technik ► Umwelttechnik / Biotechnologie
ISBN-10	981-13-1070-X / 981131070X
ISBN-13	978-981-13-1070-6 / 9789811310706
Zustand	Neuware