32 search results - page 1 / 7 » Visualisation of Distributions and Clusters Using ViSOMs on ... |
103
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IDEAL
2004
Springer
15 years 5 months ago
2004
Springer
Microarray datasets are often too large to visualise due to the high dimensionality. The self-organising map has been found useful to analyse massive complex datasets. It can be us...
138
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NN
2002
Springer
14 years 12 months ago
2002
Springer
The self-organising map (SOM) has been successfully employed as a nonparametric method for dimensionality reduction and data visualisation. However, for visualisation the SOM requ...
118
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BMCBI
2006
15 years 9 days ago
2006
Background: Traditional methods of analysing gene expression data often include a statistical test to find differentially expressed genes, or use of a clustering algorithm to find...
104
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BMCBI
2008
15 years 11 days ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
135
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BIODATAMINING
2008
15 years 11 days ago
2008
Background: Analysis of a microarray experiment often results in a list of hundreds of diseaseassociated genes. In order to suggest common biological processes and functions for t...