校正:基于图形神经网络的方法,用于从多视图数据中预测SARS-CoV-2-人类蛋白相互作用.
PloS one
|December 16, 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和引用,以确保科学研究的完整性.
科学领域:
- 科学出版 科研出版
- 研究诚信研究诚信
- 学术传播学术交流
背景情况:
- 准确的引用对于科学完整性至关重要.
- 适当的引用确保了研究的可复制性和可追溯性.
- 校正是学术出版过程的标准部分.
研究的目的:
- 纠正已发表文章的数字物体标识符 (DOI).
- 确保产品正确识别和可访问.
- 为了保持科学记录的准确性.
主要方法:
- 对文章的元数据进行行政纠正.
- 在出版物的数据库中更新文章的DOI.
- 发出正式的纠正通知.
主要成果:
- 这篇文章的DOI已被更正为10.1371/journal.pone.0332794.
- 修正后的DOI确保了对研究的正确链接和访问.
- 科学记录现在是准确的.
结论:
- 校正维护了学术出版的标准.
- 准确的DOI对于可靠的科学传播至关重要.
- 这确保了研究文献的完整性.
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