962 search results - page 3 / 193 » Redundancy based feature selection for microarray data |
IDEAL
2005
Springer
13 years 10 months ago
2005
Springer
Due to the large number of genes measured in a typical microarray dataset, feature selection plays an essential role in tumor classification. In turn, relevance and redundancy are ...
BMCBI
2007
13 years 5 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, ...
BIBM
2009
IEEE
13 years 11 months ago
2009
IEEE
A major challenge in microarray classification and biomarker discovery is dealing with small-sample high-dimensional data where the number of genes used as features is typically o...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Many feature selection algorithms have been proposed in the past focusing on improving classification accuracy. In this work, we point out the importance of stable feature selecti...
ISBRA
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. DNA microarrays can monitor the expression levels of thousands of genes simultaneously, providing the opportunity for the identification of genes that are differentiall...