Communications Biology (Sep 2021)

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

  • 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

DOI
https://doi.org/10.1038/s42003-021-02622-z
Journal volume & issue
Vol. 4, no. 1
pp. 1 – 9

Abstract

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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.