NRBdMF: A recommendation algorithm for predicting drug effects considering directionality. (arXiv:2208.04312v1 [q-bio.QM])

Predicting the novel effects of drugs based on information about approved
drugs can be regarded as a recommendation system. Matrix factorization is one
of the most used recommendation systems and various algorithms have been
devised for it. A literature survey and summary of existing algorithms for
predicting drug effects demonstrated that most such methods, including
neighborhood regularized logistic matrix factorization, which was the best
performer in benchmark tests, used a binary matrix that considers only the
presence or absence of …

algorithm arxiv bio effects recommendation recommendation algorithm