Showing papers by "Wei Wang published in 2018"

TL;DR: The study shows that the LPLNP model based on the known lncRNA–protein interactions can produce high-accuracy performances, and can be validated, indicating that the method is a useful tool for lnc RNA–protein interaction prediction.

TL;DR: A novel computational method “feature-derived graph regularized matrix factorization” (FGRMF), which predicts unobserved side effects for approved drugs based on known drug-side effect associations and available drug features and outperforms benchmark side effect prediction methods on the benchmark datasets.