Ontology highlight
ABSTRACT:
SUBMITTER: Ferrario PG
PROVIDER: S-EPMC5862307 | biostudies-literature | 2018 Jan
REPOSITORIES: biostudies-literature
Ferrario Paola G PG König Inke R IR
Briefings in bioinformatics 20180101 1
Genome-wide association studies are moving to genome-wide interaction studies, as the genetic background of many diseases appears to be more complex than previously supposed. Thus, many statistical approaches have been proposed to detect gene-gene (GxG) interactions, among them numerous information theory-based methods, inspired by the concept of entropy. These are suggested as particularly powerful and, because of their nonlinearity, as better able to capture nonlinear relationships between gen ...[more]