A comparison of embedding aggregation strategies in drug –target interaction prediction

The prediction of interactions between novel drugs and biological targets is a vital step in the early stage of the drug discovery pipeline. Many deep learning approaches have been proposed over the last decad...
Source: BMC Bioinformatics - Category: Bioinformatics Authors: Tags: Research Source Type: research