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    Chapter and Conference Paper

    A Unified Deep Biological Sequence Representation Learning with Pretrained Encoder-Decoder Model

    Machine learning methods are increasingly being applied to model and predict biomolecular interactions, while efficient feature representation plays a vital role. To this end, a unified biological sequence dee...

    Hai-Cheng Yi, Zhu-Hong You, **ao-Rui Su in Intelligent Computing Theories and Applica… (2020)

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    Chapter and Conference Paper

    A Novel Computational Approach for Predicting Drug-Target Interactions via Network Representation Learning

    Detection of drug-target interactions (DTIs) has a beneficial effect on both pathogenesis and drugs discovery. Although a huge number of DTIs have been generated recently, the number of known interactions is s...

    **ao-Rui Su, Zhu-Hong You, Ji-Ren Zhou in Intelligent Computing Theories and Applica… (2020)