Showing 6 of 6 projects
A biomedical knowledge graph integrating 20 resources to describe 17,080 diseases with over 4 million relationships across ten biological scales.
A Ruby on Rails web application for querying and exploring drug-gene interaction data from The Genome Institute's database.
An open-source biomedical knowledge graph for drug discovery, precision medicine, and drug repurposing research.
A deep learning model that predicts drug response by fusing multi-omics data with graph convolutional networks.
Attention-based GNN model for predicting drug sensitivity and explaining gene contributions using a drug-cell-gene heterogeneous network.
A GNN-based deep learning model that performs drug-specific gene selection for improved drug response prediction.
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