Improving anti-cancer drug response prediction using multi-task learning on graph convolutional networks
Predicting the therapeutic effect of anti-cancer drugs on tumors based on the characteristics
of tumors and patients is one of the important contents of precision oncology. Existing …
of tumors and patients is one of the important contents of precision oncology. Existing …
Improving anti-cancer drug response prediction using multi-task learning on graph convolutional networks.
H Liu, W Peng, W Dai, J Lin, X Fu, L Liu… - Methods (San Diego …, 2023 - europepmc.org
Predicting the therapeutic effect of anti-cancer drugs on tumors based on the characteristics
of tumors and patients is one of the important contents of precision oncology. Existing …
of tumors and patients is one of the important contents of precision oncology. Existing …
Improving anti-cancer drug response prediction using multi-task learning on graph convolutional networks
H Liu, W Peng, W Dai, J Lin, X Fu, L Liu… - Methods (San Diego … - pubmed.ncbi.nlm.nih.gov
Predicting the therapeutic effect of anti-cancer drugs on tumors based on the characteristics
of tumors and patients is one of the important contents of precision oncology. Existing …
of tumors and patients is one of the important contents of precision oncology. Existing …