Page
%P
![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
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...
-
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...