Gene Interaction Prediction
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Benchmarks
BioGRID (human)
BioGRID(yeast)
Most implemented
Papers
GIP-RAG: An Evidence-Grounded Retrieval-Augmented Framework for Interpretable Gene Interaction and Pathway Impact Analysis
Understanding mechanistic relationships among genes and their impacts on biological pathways is essential for elucidating disease mechanisms and advancing precision medicine. Despite the availability of extensive molecul…
Gene Interaction PredictionKnowledge GraphsCommunicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction
Illuminating the interconnections between drugs and genes is an important topic in drug development and precision medicine. Currently, computational predictions of drug-gene interactions mainly focus on the binding inter…
Gene Interaction PredictionRepresentation LearningGDFM: Gene Vectors Embodied Deep Attentional Factorization Machines for Interaction prediction
Gene Network Graphs (GNGs) are comprised of biomedical data. Deriving structural information from these graphs remains a prime area of research in the domain of biomedical and health informatics. In this paper, we pro…
Gene Interaction PredictionGNE: a deep learning framework for gene network inference by aggregating biological information
The topological landscape of gene interaction networks provides a rich source of information for inferring functional patterns of genes or proteins. However, it is still a challenging task to aggregate heterogeneous biol…
Gene Interaction PredictionLink Prediction