DGCPPISP:基于动态图卷积网络和两阶段转移学习的PPI站点预测模型

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Updated: Jun 18, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

381

Zijian Feng1,2, Weihong Huang1,2, Haohao Li2

  • 1Zhejiang Province Key Laboratory of Smart Management and Application of Modern Agricultural Resources, School of Information Engineering, Huzhou University, Huzhou, 313000, Zhejiang, China.

BMC bioinformatics
|July 31, 2024
PubMed
概括

这项研究介绍了DGCPPISP,这是一种用于预测蛋白质-蛋白质相互作用 (PPI) 站点的新型深度学习模型. DGCPPISP显著提高了预测准确性,在基准数据集上表现优于现有的方法.

关键词:
图表 卷积网络 卷积网络在PPI网站预测预测.转移学习转移学习

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