,

Rui Wang1, Zhecheng Zhou1, Xiaonan Wu1

  • 1Wenzhou University of Technology, 325000 Wenzhou, China.

概括

这项研究介绍了SE-SSP,这是一种用于预测植物小分泌 (SSP) 的新型机器学习模型. 通过使用变压器编码器和特征校正模块,SE-SSP提高了预测准确性,为实验方法提供了更快的替代方案.

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