113 search results - page 17 / 23 » Learning Microarray Gene Expression Data by Hybrid Discrimin... |
BMCBI
2006
14 years 9 months ago
2006
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
BMCBI
2008
14 years 9 months ago
2008
Background: During the past decade, many software packages have been developed for analysis and visualization of various types of microarrays. We have developed and maintained the...
CSB
2005
IEEE
15 years 3 months ago
2005
IEEE
One of the major challenges in cancer diagnosis from microarray data is to develop robust classification models which are independent of the analysis techniques used and can combi...
BMCBI
2006
14 years 9 months ago
2006
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
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CCE
2005
14 years 9 months ago
2005
Microarray experiments are emerging as one of the main driving forces in modern biology. By allowing the simultaneous monitoring of the expression of the entire genome for a given...