30 search results - page 2 / 6 » Using Contextual Information to Selectively Adjust Preproces... |
BMCBI
2010
13 years 6 months ago
2010
Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
BMCBI
2006
13 years 6 months ago
2006
Background: Microarray technology has made it possible to simultaneously measure the expression levels of large numbers of genes in a short time. Gene expression data is informati...
ACIVS
2009
Springer
14 years 26 days ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
SIGIR
2008
ACM
13 years 6 months ago
2008
ACM
The primary business model behind Web search is based on textual advertising, where contextually relevant ads are displayed alongside search results. We address the problem of sel...
BMCBI
2007
13 years 6 months ago
2007
Background: Success of metabolomics as the phenotyping platform largely depends on its ability to detect various sources of biological variability. Removal of platform-specific so...