MCHMDA: Predicting Microbe-Disease Associations Based on Similarities and Low-Rank Matrix Completion.
Cheng YanGuihua DuanFang-Xiang WuYi PanJianxin WangPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2021)
Keyphrases
- matrix completion
- low rank
- missing data
- matrix factorization
- linear combination
- convex optimization
- rank minimization
- semi supervised
- singular value decomposition
- similarity measure
- high order
- low rank matrix
- kernel matrix
- high dimensional data
- trace norm
- low rank matrices
- singular values
- norm minimization
- collaborative filtering
- pattern recognition
- minimization problems
- loss function
- least squares
- training set
- machine learning
- nuclear norm