Evaluating the detection ability of a range of epistasis detection methods on simulated data for pure and impure epistatic models.

Evaluating the detection ability of a range of epistasis detection methods on simulated data for pure and impure epistatic models.

<h4>Background</h4>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.<h4>Methods</h4>A selection of state-of-the-art approaches were assessed. These include...

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Hlavní autoři: Dominic Russ, John A Williams, Victor Roth Cardoso, Laura Bravo-Merodio, Samantha C Pendleton, Furqan Aziz, Animesh Acharjee, Georgios V Gkoutos
Médium: Článek
Jazyk:English
Vydáno: Public Library of Science (PLoS) 2022-01-01
Edice:PLoS ONE
On-line přístup:https://doi.org/10.1371/journal.pone.0263390

Internet

https://doi.org/10.1371/journal.pone.0263390

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