Article
Evaluating the detection ability of a range of epistasis detection methods on simulated data for pure and impure epistatic models.
PloS one - 1 Jan 2022
Russ Dominic, Williams John A, Cardoso Victor Roth, Bravo-Merodio Laura, Pendleton Samantha C, Aziz Furqan, Acharjee Animesh, Gkoutos Georgios V
Abstract excerpt
BACKGROUND: Numerous approaches have been proposed for the detection of epistatic interactions within GWAS datasets in order to better understand the drivers of disease and genetics. METHODS: A selection of state-of-the-art approaches were assessed. These included the statistical tests, fast-epistasis, BOOST, logistic regression and wtest; swarm intelligence methods, namely AntEpiSeeker, epiACO and CINOEDV; and...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.