59 search results - page 10 / 12 » Gene selection for classification of microarray data based o... |
APIN
2010
13 years 6 months ago
2010
Abstract. This paper introduces a robust variant of AdaBoost, cwAdaBoost, that uses weight perturbation to reduce variance error, and is particularly effective when dealing with da...
JCB
2002
13 years 5 months ago
2002
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
BMCBI
2008
13 years 5 months ago
2008
Background: High-throughput technologies like functional screens and gene expression analysis produce extended lists of candidate genes. Gene-Set Enrichment Analysis is a commonly...
BMCBI
2007
13 years 5 months ago
2007
Background: Microarray time series studies are essential to understand the dynamics of molecular events. In order to limit the analysis to those genes that change expression over ...
ISMIS
2003
Springer
13 years 11 months ago
2003
Springer
Owing to the development of DNA microarray technologies, it is possible to get thousands of expression levels of genes at once. If we make the effective classification system with ...