Pattern to Knowledge: Deep Knowledge-Directed Machine Learning for Residue-Residue Interaction Prediction
Sign Up to like & getrecommendations! Published in 2018 at "Scientific Reports"
DOI: 10.1038/s41598-018-32834-z
Abstract: Residue-residue close contact (R2R-C) data procured from three-dimensional protein-protein interaction (PPI) experiments is currently used for predicting residue-residue interaction (R2R-I) in PPI. However, due to complex physiochemical environments, R2R-I incidences, facilitated by multiple factors, are… read more here.
Keywords: residue interaction; knowledge; r2r; deep knowledge ... See more keywords
A Systematic Review of Deep Knowledge Graph-Based Recommender Systems, with Focus on Explainable Embeddings
Sign Up to like & getrecommendations! Published in 2022 at "Data"
DOI: 10.3390/data7070094
Abstract: Recommender systems (RS) have been developed to make personalized suggestions and enrich users’ preferences in various online applications to address the information explosion problems. However, traditional recommender-based systems act as black boxes, not presenting the… read more here.
Keywords: deep knowledge; knowledge graph; recommender systems; knowledge ... See more keywords