50 search results - page 1 / 10 » Supervised group Lasso with applications to microarray data ... |
BMCBI
2007
13 years 4 months ago
2007
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
BMCBI
2005
13 years 4 months ago
2005
Background: Genome wide microarray studies have the potential to unveil novel disease entities. Clinically homogeneous groups of patients can have diverse gene expression profiles...
BMCBI
2004
13 years 4 months ago
2004
Background: To cancel experimental variations, microarray data must be normalized prior to analysis. Where an appropriate model for statistical data distribution is available, a p...
IPMI
2011
Springer
12 years 8 months ago
2011
Springer
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...