Web: http://arxiv.org/abs/2205.05957

May 13, 2022, 1:11 a.m. | Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang

cs.LG updates on arXiv.org arxiv.org

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 interactions
without considering other relation types like agonist, antagonist, etc. In
addition, existing methods either heavily rely on high-quality domain features
or are intrinsically transductive, which limits the capacity of models to
generalize to drugs/genes that lack external information or are unseen during
the training process. To address these problems, we propose …

arxiv gene learning prediction representation representation learning

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