GenNet framework: interpretable deep learning for predicting phenotypes from genetic data

van Hilten and colleagues present GenNet, a deep-learning framework for predicting phenotype from genetic data. This framework generates interpretable neural networks that provide insight into the genetic basis of complex traits and diseases.

Bibliographic Details
Main Authors: Arno van Hilten, Steven A. Kushner, Manfred Kayser, M. Arfan Ikram, Hieab H. H. Adams, Caroline C. W. Klaver, Wiro J. Niessen, Gennady V. Roshchupkin
Format: Article
Language:English
Published: Nature Publishing Group 2021-09-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-021-02622-z