TMFUF: a triple matrix factorization-based unified framework for predicting comprehensive drug-drug interactions of new drugs.
Jian-Yu ShiHua HuangJia-Xin LiPeng LeiYan-Ning ZhangKai DongSiu-Ming YiuPublished in: BMC Bioinform. (2018)
Keyphrases
- matrix factorization
- unified framework
- drug discovery
- drug design
- collaborative filtering
- pharmaceutical industry
- virtual screening
- recommender systems
- low rank
- drug resistance
- negative matrix factorization
- missing data
- adverse drug reactions
- factorization methods
- data sparsity
- factor analysis
- latent factors
- nonnegative matrix factorization
- probabilistic model
- probabilistic matrix factorization
- adverse drug reaction
- pairwise