1674 search results - page 39 / 335 » Evaluation of clustering algorithms for gene expression data |
118
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BMCBI
2008
15 years 1 months ago
2008
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
114
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BIBE
2007
IEEE
15 years 3 months ago
2007
IEEE
—In this paper, we have modified a constrained clustering algorithm to perform exploratory analysis on gene expression data using prior knowledge presented in the form of constr...
BMCBI
2004
15 years 1 months ago
2004
Background: A common clustering method in the analysis of gene expression data has been hierarchical clustering. Usually the analysis involves selection of clusters by cutting the...
104
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KDD
2004
ACM
16 years 1 months ago
2004
ACM
Massive publicly available gene expression data consisting of different experimental conditions and microarray platforms introduce new challenges in data mining when integrating m...
142
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FLAIRS
2004
15 years 2 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...