MHGCN: A Multi-Channel Hybrid Graph Convolutional Neural Network for Cancer Drug Response Prediction
Abstract: Due to the heterogeneity of cancer cells, personalized treatment plans for cancer patients remain a continuous concern. High-throughput drug screening technology has led to the development ...
Abstract: Graph Convolutional Networks (GCNs) have been proposed to extend machine learning techniques for graph-related applications. A typical GCN model consists of multiple layers, each including ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback