Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
In 2005, a major collaboration in Melbourne Australia successfully completed implementing a major medical informatics infrastructure – this is now being used for discovery resear...
Marienne Hibbert, Peter Gibbs, Terence O'brien, Pe...
Scientific workflows in Life Sciences are usually complex, and use many online databases, analysis tools, publication repositories and customized computation intensive desktop sof...
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...