Nonconvex regularization for sparse genomic variant signal detection.
Mario BanuelosLasith AdhikariRubi AlmanzaAndrew FujikawaJonathan SahagunKatharine SandersonMelissa SpenceSuzanne SindiRoummel F. MarciaPublished in: MeMeA (2017)
Keyphrases
- signal detection
- low rank matrices
- sparsity regularization
- structured sparsity
- mixed norm
- image restoration and reconstruction
- rank minimization
- elastic net
- sparse approximation
- weak signal
- group lasso
- high throughput
- high dimensional
- robust principal component analysis
- low signal to noise ratio
- sparse data
- objective function
- compressive sensing
- regularization parameter
- low rank
- convex optimization
- global optimization
- quadratic optimization problems
- genomic data
- nonlinear programming
- human genome
- canonical correlation analysis
- regularization term
- sequence data
- sparse representation