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Correction: Model performance and interpretability of semi-supervised generative adversarial networks to predict oncogenic variants with unlabeled data

  • Zilin Ren
  • , Quan Li
  • , Kajia Cao
  • , Marilyn M. Li
  • , Yunyun Zhou
  • , Kai Wang
  • The Children's Hospital of Philadelphia
  • Princess Margaret Cancer Centre
  • University of Pennsylvania

Research output: Contribution to journal › Comment/debate

1 Scopus citations

Abstract

Following publication of the original article [1], it was reported that the article entitled “Model performance and interpretability of semi-supervised generative adversarial networks to predict oncogenic variants with unlabeled data” was published in the regular issue of this journal instead of in the supplement issue. The details of the supplement in which this article ought to have been published are given below: This article has been published as part of BMC Bioinformatics Volume 23 Supplement 3, 2022: Selected articles from the International Conference on Intelligent Biology and Medicine (ICIBM 2021): bioinformatics. The full contents of the supplement are available online at. The publisher apologizes for any inconvenience caused.

Original languageEnglish
Article number572
JournalBMC Bioinformatics
Volume23
Issue numberSuppl 3
DOIs
StatePublished - May 31 2023

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