571 search results - page 7 / 115 » Feature Selection and Gene Clustering from Gene Expression D... |
BMCBI
2005
14 years 9 months ago
2005
Background: High throughput methods of the genome era produce vast amounts of data in the form of gene lists. These lists are large and difficult to interpret without advanced com...
BMCBI
2008
14 years 9 months ago
2008
Background: This paper addresses key biological problems and statistical issues in the analysis of large gene expression data sets that describe systemic temporal response cascade...
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BMCBI
2006
14 years 9 months ago
2006
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
CSB
2005
IEEE
15 years 3 months ago
2005
IEEE
When building predictors of disease state based on gene expression data, gene selection is performed in order to achieve a good performance and to identify a relevant subset of ge...
BMCBI
2007
14 years 9 months ago
2007
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...