Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations.
Xiaofeng ZhuHeung-Il SukHeng HuangDinggang ShenPublished in: MICCAI (1) (2016)
Keyphrases
- regression model
- genome wide
- low rank
- low rank matrix
- rank minimization
- low rank matrices
- group lasso
- generalized linear models
- high throughput
- robust principal component analysis
- regularized regression
- convex optimization
- missing data
- matrix factorization
- linear combination
- matrix completion
- singular value decomposition
- high order
- high dimensional data
- gaussian process
- semi supervised
- genome wide association studies
- sparse matrix
- high dimensional
- sparse representation
- data sets
- pairwise
- biological data
- microarray
- model selection
- learning tasks
- logistic regression
- recommender systems