GenEpi: gene-based epistasis discovery using machine learning

GenEpi: gene-based epistasis discovery using machine learning

Abstract Background Genome-wide association studies (GWAS) provide a powerful means to identify associations between genetic variants and phenotypes. However, GWAS techniques for detecting epistasis, the interactions between genetic variants associated with phenotypes, are still limited. We believe...

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Bibliographic Details
Main Authors: Yu-Chuan Chang, June-Tai Wu, Ming-Yi Hong, Yi-An Tung, Ping-Han Hsieh, Sook Wah Yee, Kathleen M. Giacomini, Yen-Jen Oyang, Chien-Yu Chen, for the Alzheimer’s Disease Neuroimaging Initiative
Format: Article
Language:English
Published: BMC 2020-02-01
Series:BMC Bioinformatics
Subjects:
GWAS
Epistasis
Machine learning
Online Access:http://link.springer.com/article/10.1186/s12859-020-3368-2

Internet

http://link.springer.com/article/10.1186/s12859-020-3368-2

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