Predicting Comprehensive Drug-Drug Interactions for New Drugs via Triple Matrix Factorization.
Jianyu ShiHua HuangJia-Xin LiPeng LeiYan-Ning ZhangSiu-Ming YiuPublished in: IWBBIO (1) (2017)
Keyphrases
- matrix factorization
- drug discovery
- drug design
- pharmaceutical industry
- collaborative filtering
- virtual screening
- low rank
- drug resistance
- recommender systems
- factorization methods
- missing data
- data sparsity
- adverse drug reaction
- personalized ranking
- multiscale
- nonnegative matrix factorization
- negative matrix factorization
- stochastic gradient descent
- binary matrix
- data matrix
- least squares
- adverse drug reactions
- variational bayesian
- item recommendation
- co occurrence