168 search results - page 19 / 34 » Multivariate analysis of microarray data: differential expre... |
BMCBI
2007
14 years 11 months ago
2007
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
BMCBI
2005
14 years 11 months ago
2005
Background: With the explosion of microarray studies, an enormous amount of data is being produced. Systematic integration of gene expression data from different sources increases...
115
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BMCBI
2010
14 years 11 months ago
2010
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
102
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JBI
2008
14 years 11 months ago
2008
Gene Ontology (GO) terms are often used to interpret the results of microarray experiments. The most common approach is to perform Fisher's exact tests to find gene sets anno...
105
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COMPLIFE
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to help find description of groups of genes different...