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Updated: Sep 17, 2025

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AMCL:监督对比学习与硬样本挖掘用于多功能治疗预测.

Jiwei Fang1, Henghui Fan2, Jintao Zhao1

  • 1College of Mathematics and System Science, Xinjiang University, Urumqi, Xinjiang, 830046, China.

BMC biology
|July 2, 2025
PubMed
概括

我们开发了AMCL,这是一个计算框架,用于预测治疗性功能,克服数据挑战. AMCL显著提高了预测准确性,为多功能分析建立了一个新的最先进的技术状态.

关键词:
数据增强数据增强多功能治疗性.多标签监督的对比学习学习.门选择的门选择权重组合损失 权重组合损失

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