1674 search results - page 51 / 335 » Evaluation of clustering algorithms for gene expression data |
116
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BMCBI
2008
15 years 1 months ago
2008
Background: Many statistical methods have been proposed to identify disease biomarkers from gene expression profiles. However, from gene expression profile data alone, statistical...
76
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BIB
2008
15 years 1 months ago
2008
Recently developed gene set analysis methods evaluate differential expression patterns of gene groups instead of those of individual genes. This approach especially targets gene g...
105
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GECCO
2005
Springer
15 years 7 months ago
2005
Springer
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
175
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BMCBI
2006
15 years 1 months ago
2006
Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
103
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IADIS
2008
15 years 3 months ago
2008
Most of the biclustering algorithms for gene expression data are based either on the Euclidean distance or correlation coefficient which capture only linear relationships. However...