Collective feature selection to identify crucial epistatic variants

Machine learning methods have gained popularity and practicality in identifying linear and non-linear effects of variants associated with complex disease/traits. Detection of epistatic interactions still remai...

Source: BioData Mining - April 19, 2018 Category: Bioinformatics Authors: Shefali S. Verma, Anastasia Lucas, Xinyuan Zhang, Yogasudha Veturi, Scott Dudek, Binglan Li, Ruowang Li, Ryan Urbanowicz, Jason H. Moore, Dokyoon Kim and Marylyn D. Ritchie Tags: Research Source Type: research