1674 search results - page 36 / 335 » Evaluation of clustering algorithms for gene expression data |
151
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BMCBI
2011
14 years 8 months ago
2011
Background: Cross-platform analysis of gene express data requires multiple, intricate processes at different layers with various platforms. However, existing tools handle only a s...
138
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BMCBI
2010
15 years 1 months ago
2010
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
108
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BMCBI
2007
15 years 1 months ago
2007
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
107
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IADIS
2008
15 years 3 months ago
2008
One approach to reduce the complexity of the task in the analysis of large scale genome-wide expression is to group the genes showing similar expression patterns into what are cal...
122
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BMCBI
2010
14 years 11 months ago
2010
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...