Precise uncertain significance prediction using latent space matrix factorization models: genomics variant and heterogeneous clinical data-driven approaches.
Sina AbdollahiPeng-Chan LinMeng-Ru ShenJung-Hsien ChiangPublished in: Briefings Bioinform. (2021)
Keyphrases
- matrix factorization
- latent space
- data driven approaches
- factorization methods
- collaborative filtering
- recommender systems
- low rank
- negative matrix factorization
- missing data
- probabilistic latent semantic analysis
- prior knowledge
- probabilistic model
- latent variables
- bayesian inference
- data sets
- model selection
- high dimensional
- image segmentation