Similarity measures based graph co-contrastive learning for drug-disease association prediction.
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DOI: 10.1093/bioinformatics/btad357
Abstract: MOTIVATION An imperative step in drug discovery is the prediction of drug-disease associations (DDAs), which tries to uncover potential therapeutic possibilities for already validated drugs. It is costly and time-consuming to predict DDAs using wet… read more here.
Keywords: graph contrastive; drug disease; prediction; contrastive learning ... See more keywords