[Briefings in Bioinformatics 2024]* We propose a novel FusionGDA model, which uses a contrastive learning–based training strategy together with a fusion module to enrich the gene and disease semantic representations encoded by pre-trained language models.
pretrained-language-model contrastive-learning predicting-gene-disease-associations fusion-module protein-disease-associations
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Mar 4, 2026 - Jupyter Notebook