The Geometric Sparse Matrix Completion Model for Predicting Drug Side effects

D Galeano, A Paccanaro - bioRxiv, 2019 - biorxiv.org
Pair-input associations for drug-side effects are obtained through expensive placebo-
controlled experiments in human clinical trials. An important challenge in computational …

Machine Learning Prediction of Drug Side Effects in Clinical Trials

D Galeano, A Paccanaro - Available at SSRN 4114948 - papers.ssrn.com
Drug side effects are a leading cause of morbidity and mortality in healthcare. Here we ask
whether side effects identified after the drugs entered the marked could have been predicted …

[PDF][PDF] Learning sparse representations for predicting drug side effects, disease genes and customer preferences

DG Galeano - 2020 - core.ac.uk
Computational prediction methods that operate on pairs of objects are fundamental tools for
understanding and modelling complex systems in biology, chemistry, and customer …