知识图谱嵌入表示再学习的药物反应预测方法

Knowledge Graph Embedding Represents a Relearning Drug Response Prediction Method

为解决基于网络进行药效预测的模型中加入新样本需要重新训练模型的问题,提出基于网络的药效预测方法,并进行了对比实验。该方法可以直接使用训练好的模型编码肿瘤细胞新样本,解决了加入新样本需要重新训练编码模型的问题,提高了药效预测精度,优于其他方法。

To solve the problem of adding new samples to the network-based model for drug efficacy prediction and retraining the model,a network-based drug efficacy prediction method was proposed and comparative experiments were conducted.This method can directly use the trained model to encode new samples of tumor cells,solving the problem of needing to retrain the encoding model to add new samples,improving the accuracy of drug efficacy prediction,and outperforming other methods.