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CORRECTION article

Front. Bioinform., 03 December 2025

Sec. Integrative Bioinformatics

Volume 5 - 2025 | https://doi.org/10.3389/fbinf.2025.1750582

Correction: Integrative machine learning and bioinformatics analysis to identify cellular senescence-related genes and potential therapeutic targets in ulcerative colitis and colorectal cancer

This article is a correction to:

  1. Integrative machine learning and bioinformatics analysis to identify cellular senescence-related genes and potential therapeutic targets in ulcerative colitis and colorectal cancer

    1. Read original article
Tianle Xue, &#x;Tianle Xue1,2*†Yunpeng Chen,&#x;Yunpeng Chen1,2†Xiaomeng Li,Xiaomeng Li1,2Zhixiang Zhou,Zhixiang Zhou1,2Qiyang Chen,Qiyang Chen1,2
  • 1Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, United Kingdom
  • 2China Pharmaceutical University, Nanjing, China

A Correction on
Integrative machine learning and bioinformatics analysis to identify cellular senescence-related genes and potential therapeutic targets in ulcerative colitis and colorectal cancer

by Xue T, Chen Y, Li X, Zhou Z and Chen Q (2025). Front. Bioinform. 5:1599098. doi: 10.3389/fbinf.2025.1599098

Affiliation “China Pharmaceutical University, Nanjing, China” was omitted for author Tianle Xue, Yunpeng Chen, Xiaomeng Li, Zhixiang Zhou, and Qiyang Chen. This affiliation has now been added for all authors.

The Data Availability statement was erroneously given as “The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.” The correct Data Availability statement is “The original contributions presented in the study are included in the article and Zenodo link: https://zenodo.org/records/17274390?token=eyJhbGciOiJIUzUxMiJ9.eyJpZCI6IjgzMjQ3ZDc3LTljYjMtNGVlYy1iYTI1LWRmM2MzYmVlM2M2YyIsImRhdGEiOnt9LCJyYW5kb20iOiIzNzU0Y2RjMDdmZTlkYzNmMWVmNTJjNTc5NTc4MTZkZiJ9.YAu5Lc4IMsUnTDAfdiiaX0cEFO66kH3-Tc0IBYMtxRf6O824e85uRvD_m2Dip9cDC_IUg2CIxisSaN5iwdyrFQand https://zenodo.org/records/17274398?token=eyJhbGciOiJIUzUxMiJ9.eyJpZCI6ImRhZWM4ZDMzLWYxNTAtNGM2Ni04ZGQzLWM0YTQ4NmI4YjllOCIsImRhdGEiOnt9LCJyYW5kb20iOiI4OWE2MGMyMjFmYzFhMzBiZjYxNTJkYTMwYjQxZGJmOSJ9.22PVvcpoKy7oAhugaqx5iSgAL2v0DMbGO-obROSh16bxkeHw-eLIbeIfibTVjZ_1klseB8EH2NhfVPCAbyMygA. Further inquiries can be directed to the corresponding author.”

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: cellular senescence, ulcerative colitis, colorectal cancer, integrative machine learning, immune infiltration, therapeutic targets

Citation: Xue T, Chen Y, Li X, Zhou Z and Chen Q (2025) Correction: Integrative machine learning and bioinformatics analysis to identify cellular senescence-related genes and potential therapeutic targets in ulcerative colitis and colorectal cancer. Front. Bioinform. 5:1750582. doi: 10.3389/fbinf.2025.1750582

Received: 20 November 2025; Accepted: 21 November 2025;
Published: 03 December 2025.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2025 Xue, Chen, Li, Zhou and Chen. 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: Tianle Xue, dGlhbmxlLnh1ZS4yMDIyQHVuaS5zdHJhdGguYWMudWs=

†These authors have contributed equally to this work

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.