Particle swarm optimization algorithm for analyzing SNP–SNP interaction of renin-angiotensin system genes against hypertension

Most non-significant individual single nucleotide polymorphisms (SNPs) were undiscovered in hypertension association studies. Their possible SNP–SNP interactions were usually ignored and leaded to missing heritability. In present study, we proposed a particle swarm optimization (PSO) algorithm to an...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Molecular biology reports Jg. 40; H. 7; S. 4227 - 4233
Hauptverfasser:	Wu, Shyh-Jong, Chuang, Li-Yeh, Lin, Yu-Da, Ho, Wen-Hsien, Chiang, Fu-Tien, Yang, Cheng-Hong, Chang, Hsueh-Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.07.2013 Springer Nature B.V
Schlagworte:	Algorithms Angiogenesis Animal Anatomy Animal Biochemistry Atoms & subatomic particles barcoding Biomedical and Life Sciences Computational Biology - methods data collection Epistasis, Genetic genes Genetic Predisposition to Disease Genotype heritability Histology Humans Hypertension Hypertension - genetics Life Sciences Models, Biological Morphology Odds Ratio Optimization algorithms Polymorphism, Single Nucleotide renin-angiotensin system Renin-Angiotensin System - genetics Reproducibility of Results single nucleotide polymorphism Hypertension SNP interactions Single nucleotide polymorphism Renin-angiotensin system Particle swarm optimization
ISSN:	0301-4851, 1573-4978, 1573-4978
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!