Gene Interaction Prediction
2 papers with code • 2 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Gene Interaction Prediction
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BioGRID
Latest papers
Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction
biomed-ai/cosmig
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To address these problems, we propose a novel Communicative Subgraph representation learning for Multi-relational Inductive drug-Gene interactions prediction (CoSMIG), where the predictions of drug-gene relations are made through subgraph patterns, and thus are naturally inductive for unseen drugs/genes without retraining or utilizing external domain features.
GNE: a deep learning framework for gene network inference by aggregating biological information
kckishan/GNE
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BMC Systems Biology 2019
However, it is still a challenging task to aggregate heterogeneous biological information such as gene expression and gene interactions to achieve more accurate inference for prediction and discovery of new gene interactions.
