12 search results - page 1 / 3 » Gene Expression Classification: Decision Trees vs. SVMs |
91
Voted
FLAIRS
2003
15 years 4 months ago
2003
141
Voted
SDM
2008
SIAM
15 years 4 months ago
2008
SIAM
Gene expression information from microarray experiments is a primary form of data for biological analysis and can offer insights into disease processes and cellular behaviour. Suc...
127
Voted
BMCBI
2005
15 years 2 months ago
2005
Background: Many classification approaches have been applied to analyzing transcriptional regulation of gene expressions. These methods build models that can explain a gene's...
127
Voted
BMCBI
2005
15 years 2 months ago
2005
Background: Development of robust and efficient methods for analyzing and interpreting high dimension gene expression profiles continues to be a focus in computational biology. Th...
119
Voted
IBPRIA
2007
Springer
15 years 6 months ago
2007
Springer
Random forest is a collection (ensemble) of decision trees. It is a popular ensemble technique in pattern recognition. In this article, we apply random forest for cancer classifica...