14 search results - page 2 / 3 » Automatic DNA microarray gridding based on Support Vector Ma... |
BMCBI
2005
13 years 4 months ago
2005
Background: The extensive use of DNA microarray technology in the characterization of the cell transcriptome is leading to an ever increasing amount of microarray data from cancer...
NIPS
2000
13 years 6 months ago
2000
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
CSB
2005
IEEE
13 years 10 months ago
2005
IEEE
Perhaps the most common question that a microarray study can ask is, “Between two given biological conditions, which genes exhibit changed expression levels?” Existing methods...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
BMCBI
2006
13 years 5 months ago
2006
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...