… We explain how the performance of PPI prediction can be improved if these issues are … The
robustness of RWS could be decreased by the simple cut-off-based strategy used to maintain …

… To better demonstrate the performance variability of the different methods, we ranked those
… to guide protein–protein interaction assays, by prioritizing interactions with a high predicted …

… supplement and guide wet-laboratory's experimental work [3]… of reported PPIs has increased
substantially. Especially, the … binding interface prediction method developed by modifying …

… are integrated by using various statistical strategies such as logistic … used in bioinformatics
research to enhance the prediction … improvement of plant-pathogen protein-protein interaction …

… protein structures improves the performance of protein–protein interaction (PPI) prediction. …
In the future, we will try to apply the new strategy of protein representation learning method …

… In more advanced use cases, analysis in targeting disruptive PPIs can even introduce new
cancer therapeutic strategies [7]. The basis of meaningful and comprehensive discoveries is …

… better accuracy results than KNN and SVM; it also demonstrates when predicting the
protein–protein interactions, RF … we proposed has better prediction performance for predicting …

… as a powerful tool to guide researchers to study the functions … ; through this, we are hoping
to better solve the problem of … modifications (PTMs) and protein–protein interactions (PPIs). In …

… Protein-Protein Interactions (PPIs) play an important role in intercellular communication,
transcription, replication, protein translation, modification… better than the single-feature prediction …

… Moreover, we propose a novel pre-training strategy, namely … PPI prediction with millions
of PPIs with better effectiveness … 25th ACM SIGKDD international conference on knowledge …