校正:整合机器学习和门德尔随机化识别了川崎病冠状动脉病变的因果实验室生物标志物:一项前性研究
Hancao Yang1, Meng Wu2, Keqing Liang1
1Department of Clinical Laboratory, Children's Hospital of Fudan University & National Children Medical Center, Shanghai, China.
Frontiers in genetics
|November 28, 2025
概括
这项研究纠正了先前发表的一篇文章. 校正确保了准确的引用,用于该领域的未来研究.
科学领域:
- 遗传学和基因组学研究.
背景情况:
- 之前的一篇文章包含了一个错误的文章DOI.
- 准确的引用对于科学完整性和可重复性至关重要.
研究的目的:
- 为出版物提供正确的文章DOI.
主要方法:
- 纠正该文章的DOI.
主要成果:
- 这篇文章的DOI已更新为10.3389/fgene.2025.1646032.
结论:
- 确保正确的DOI有助于正确的引用和访问研究.
- 这次纠正符合科学出版的标准.
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