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Updated: Jul 12, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
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AIPs-SnTCN:使用快速文本和转换器编码器基于混合词嵌入与自我规范化的时间卷积网络预测抗炎

Ali Raza1,2, Jamal Uddin1, Abdullah Almuhaimeed3

  • 1Department of Physical and Numerical Sciences, Qurtuba University of Science and Information Technology, Peshawar, Khyber Pakhtunkhwa 25124, Pakistan.

Journal of chemical information and modeling
|October 31, 2023
PubMed
概括

我们开发了AIPs-SnTCN,这是一个新的计算模型,可以准确预测抗炎. 这种方法为慢性炎症疾病的传统治疗提供了具有成本效益和效率的替代方案.

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