184 search results - page 15 / 37 » Improving the Performance of SVM-RFE to Select Genes in Micr... |
CSB
2005
IEEE
13 years 9 months ago
2005
IEEE
In microarray classification we are faced with a very large number of features and very few training samples. This is a challenge for classical Linear Discriminant Analysis (LDA),...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
IDA
2003
Springer
14 years 25 days ago
2003
Springer
Abstract. This paper introduces a novel method for processing spotted microarray images, inspired from image reconstruction. Instead of the usual approach that focuses on the signa...
BMCBI
2008
13 years 7 months ago
2008
Background: It is an important pre-processing step to accurately estimate missing values in microarray data, because complete datasets are required in numerous expression profile ...
BMCBI
2010
13 years 7 months ago
2010
Background: Microarray technology is a powerful and widely accepted experimental technique in molecular biology that allows studying genome wide transcriptional responses. However...