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CORRECTION article

Front. Genet., 01 December 2025

Sec. Cancer Genetics and Oncogenomics

Volume 16 - 2025 | https://doi.org/10.3389/fgene.2025.1743847

Correction: Computational models for pan-cancer classification based on multi-omics data

Jianlin WangJianlin WangJiao ZhangJiao ZhangXuebing DaiXuebing DaiChaokun YanChaokun YanCaili Fang
Caili Fang*
  • School of Computer and Information Engineering, Henan University, Kaifeng, Henan, China

A Correction on
Computational models for pan-cancer classification based on multi-omics data

by Wang J, Zhang J, Dai X, Yan C and Fang C (2025). Front. Genet. 16:1667325. doi: 10.3389/fgene.2025.1667325

The funder “the Strategic Priority Research Program of Chinese Academy of Sciences (Grant No. XDA0480502)” to Jianlin Wang was erroneously omitted.

The funding statement has been updated as: The author(s) declare that financial support was received for the research and/or publication of this article. This study was supported by the Strategic Priority Research Program of Chinese Academy of Sciences (Grant No. XDA0480502).

The original article has been updated.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: pan-cancer classification, multi-omics data, deep learning algorithm, convolutional neural network, tumor heterogeneity

Citation: Wang J, Zhang J, Dai X, Yan C and Fang C (2025) Correction: Computational models for pan-cancer classification based on multi-omics data. Front. Genet. 16:1743847. doi: 10.3389/fgene.2025.1743847

Received: 11 November 2025; Accepted: 12 November 2025;
Published: 01 December 2025.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2025 Wang, Zhang, Dai, Yan and Fang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Caili Fang, ZmFuZ2xlaGVhcnRAaGVudS5lZHUuY24=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.