782 search results - page 70 / 157 » Combined Gene Selection Methods for Microarray Data Analysis |
110
click to vote
ICTAI
2007
IEEE
15 years 9 months ago
2007
IEEE
In this paper we present a method for classifying accurately SAGE (Serial Analysis of Gene Expression) data. The high dimensionality of the data, namely the large number of featur...
123
click to vote
BMCBI
2008
15 years 3 months ago
2008
Background: Currently, clustering with some form of correlation coefficient as the gene similarity metric has become a popular method for profiling genomic data. The Pearson corre...
125
click to vote
BMCBI
2010
15 years 3 months ago
2010
Background: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineeri...
135
click to vote
BMCBI
2006
15 years 3 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...
135
click to vote
BMCBI
2010
2010
The IronChip evaluation package: a package of perl modules for robust analysis of custom microarrays
15 years 3 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...