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CORRECTION article

Front. Genet., 07 November 2025

Sec. Computational Genomics

Volume 16 - 2025 | https://doi.org/10.3389/fgene.2025.1722642

This article is part of the Research TopicRefining Precision Medicine through AI and Multi-omics IntegrationView all 8 articles

Correction: Identification of shared diagnostic genes between osteoporosis and Crohn’s disease through integrated transcriptomic analysis and machine learning

This article is a correction to:

  1. Identification of shared diagnostic genes between osteoporosis and Crohn’s disease through integrated transcriptomic analysis and machine learning

    1. Read original article
Guirong Yi&#x;Guirong Yi1†Peng Zhou,&#x;Peng Zhou2,3†Qinxu YangQinxu Yang2Maosheng ZhaoMaosheng Zhao2Qiaoqiao YangQiaoqiao Yang2Shensong Li Shensong Li2*Chenpo Dang Chenpo Dang2*
  • 1Department of Gastroenterology, The Second Hospital and Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China
  • 2Department of sports medicine, The 940th Hospital of Joint Logistic Support Force of Chinese People’s Liberation Army, Lanzhou, Gansu, China
  • 3Department of orthopedics, The 941th Hospital of Joint Logistic Support Force of Chinese People’s Liberation Army, Xining, Qinghai, China

A Correction on
Identification of shared diagnostic genes between osteoporosis and Crohn’s disease through integrated transcriptomic analysis and machine learning

by Yi G, Zhou P, Yang Q, Zhao M, Yang Q, Li S and Dang C (2025). Front. Genet. 16:1609915. doi: 10.3389/fgene.2025.1609915

The title of this article was corrected from “Title identification of shared diagnostic genes between osteoporosis and Crohn’s disease through integrated transcriptomic analysis and machine learning” to “Identification of shared diagnostic genes between osteoporosis and Crohn’s disease through integrated transcriptomic analysis and machine learning”.

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: osteoporosis, Crohn’s disease, co-diagnosis, weighted gene co-expression network analysis, machine learning

Citation: Yi G, Zhou P, Yang Q, Zhao M, Yang Q, Li S and Dang C (2025) Correction: Identification of shared diagnostic genes between osteoporosis and Crohn’s disease through integrated transcriptomic analysis and machine learning. Front. Genet. 16:1722642. doi: 10.3389/fgene.2025.1722642

Received: 11 October 2025; Accepted: 13 October 2025;
Published: 07 November 2025.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2025 Yi, Zhou, Yang, Zhao, Yang, Li and Dang. 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: Chenpo Dang, ZG9jdG9yOTQwU0AxNjMuY29t; Shensong Li, bGlzaGVuc29uZzEyMDdAc2luYS5jb20uY24=

†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.