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Correction: Model performance and interpretability of semi-supervised generative adversarial networks to predict oncogenic variants with unlabeled data
BMC Bioinformatics volume 23, Article number: 572 (2022)
The Original Article was published on 09 February 2023
Correction : BMC Bioinformatics (2023) 24:43 https://doi.org/10.1186/s12859-023-05141-2
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:
About this supplement
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 https://bmcbioinformatics.biomedcentral.com/articles/supplements/volume-23-supplement-3.
The publisher apologizes for any inconvenience caused.
Reference
Ren Z, et al. Model performance and interpretability of semi-supervised generative adversarial networks to predict oncogenic variants with unlabeled data. BMC Bioinform. 2023;24:43. https://doi.org/10.1186/s12859-023-05141-2.
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Ren, Z., Li, Q., Cao, K. et al. Correction: Model performance and interpretability of semi-supervised generative adversarial networks to predict oncogenic variants with unlabeled data. BMC Bioinformatics 23 (Suppl 3), 572 (2022). https://doi.org/10.1186/s12859-023-05357-2
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DOI: https://doi.org/10.1186/s12859-023-05357-2