An autoencoder-based deep learning method for genotype imputation

HIGHLIGHTS

  • who: Hong-Wen Deng and Chaoyang Zhang from the Emory University, United States have published the paper: An autoencoder-based deep learning method for genotype imputation, in the Journal: (JOURNAL)
  • what: The aim of the 1KGP was to provide researchers with a comprehensive open data source of human genetic variation by using technologies such as microarray genotyping, low coverage WGS with a mean depth of 7.4u00d7, and deep exome sequencing with a mean depth of 65.7u00d7 (Auton et_al, 2015; Zheng-Bradley and Flicek, 2017).
  • how: The authors applied the model to . . .

     

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