1240 search results - page 18 / 248 » Applying Memetic Algorithms to the Analysis of Microarray Da... |
FLAIRS
2004
13 years 8 months ago
2004
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
BMCBI
2006
13 years 7 months ago
2006
Background: Missing value estimation is an important preprocessing step in microarray analysis. Although several methods have been developed to solve this problem, their performan...
BMCBI
2007
13 years 7 months ago
2007
Background: Genomic deletions and duplications are important in the pathogenesis of diseases, such as cancer and mental retardation, and have recently been shown to occur frequent...
IDEAL
2007
Springer
14 years 1 months ago
2007
Springer
We apply learning vector quantization to the analysis of tiling microarray data. As an example we consider the classification of C. elegans genomic probes as intronic or exonic. T...
BMCBI
2010
2010
The IronChip evaluation package: a package of perl modules for robust analysis of custom microarrays
13 years 7 months ago
Background: Gene expression studies greatly contribute to our understanding of complex relationships in gene regulatory networks. However, the complexity of array design, producti...