GEP-EpiSeeker: a gene expression programming-based method for epistatic interaction detection in genome-wide association studies

Background Identification of epistatic interactions provides a systematic way for exploring associations among different single nucleotide polymorphism (SNP) and complex diseases. Although considerable progress has been made in epistasis detection, efficiently and accurately identifying epistatic in...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	BMC genomics Jg. 22; H. Suppl 1; S. 910 - 21
Hauptverfasser:	Peng, Yu Zhong, Lin, Yanmei, Huang, Yiran, Li, Ying, Luo, Guangsheng, Liao, Jianping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 20.12.2021 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Adaptive control Algorithms Animal Genetics and Genomics Bayes Theorem Bayesian analysis Biomedical and Life Sciences Chi-square test Chromosomes Diabetes Disease Epistasis Epistasis Analysis Epistatic Interactions Evolution Evolutionary Algorithm Fuzzy control Gene Expression Gene Expression Programming Genetic algorithms Genetic engineering Genetic epistasis Genetic research Genome-wide association studies Genome-Wide Association Study Genomes Genomics Heuristic Life Sciences Mathematical models Medical genetics Methods Microarrays Microbial Genetics and Genomics Nucleotides Optimization Optimization algorithms Performance evaluation Plant Genetics and Genomics Polymorphism Polymorphism, Single Nucleotide Programming Proteomics Single Nucleotide Polymorphisms Single-nucleotide polymorphism Statistical tests China Evolutionary Algorithm Gene Expression Programming Single Nucleotide Polymorphisms Epistasis Analysis Epistatic Interactions
ISSN:	1471-2164, 1471-2164
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!