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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...
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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...