Predicting synthetic lethal interactions in human cancers using graph regularized self-representative matrix factorization.
Jiang HuangMin WuFan LuLe Ou-YangZexuan ZhuPublished in: BMC Bioinform. (2019)
Keyphrases
- matrix factorization
- collaborative filtering
- low rank
- missing data
- protein interaction
- recommender systems
- factor analysis
- nonnegative matrix factorization
- factorization methods
- random walk
- sparse non negative
- negative matrix factorization
- stochastic gradient descent
- tensor factorization
- image segmentation
- data sparsity
- variational bayesian
- data matrix
- latent factors
- dimensionality reduction
- item recommendation