CORRECTION article
Front. Genet.
Sec. Computational Genomics
Correction: Integrative Machine Learning and Mendelian Randomization Identify Causal Laboratory Biomarkers for Coronary Artery Lesions in Kawasaki Disease: A Prospective Study
Provisionally accepted
- 1Children's Hospital of Fudan University, Shanghai, China
- 2Children's Hospital of Nanjing Medical University, Nanjing, China
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Keywords: kawasaki disease, Coronary artery lesions, machine learning, Mendelian randomization, Laboratory biomarkers
Received: 30 Oct 2025; Accepted: 31 Oct 2025.
Copyright: © 2025 Yang, Wu, Liang, Li, Yang, Yuan, Wu and Xu. 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) or licensor 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:
Ming Wu, wming@fudan.edu.cn
Jin Xu, jinxu_125@163.com
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.