113 search results - page 4 / 23 » Learning Microarray Gene Expression Data by Hybrid Discrimin... |
BMCBI
2010
14 years 11 months ago
2010
Background: A simple classification rule with few genes and parameters is desirable when applying a classification rule to new data. One popular simple classification rule, diagon...
117
click to vote
BMCBI
2007
14 years 11 months ago
2007
Background: With DNA microarray data, selecting a compact subset of discriminative genes from thousands of genes is a critical step for accurate classification of phenotypes for, ...
BMCBI
2007
14 years 11 months ago
2007
Background: Microarrays are widely used for the study of gene expression; however deciding on whether observed differences in expression are significant remains a challenge. Resul...
BMCBI
2007
14 years 11 months ago
2007
Background: Microarray co-expression signatures are an important tool for studying gene function and relations between genes. In addition to genuine biological co-expression, corr...
108
click to vote
GECCO
2003
Springer
15 years 4 months ago
2003
Springer
Abstract. Our ability to simultaneously measure the expression levels of thousands of genes in biological samples is providing important new opportunities for improving the diagnos...