979 search results - page 32 / 196 » Analysis of variance components in gene expression data |
86
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BMCBI
2008
14 years 9 months 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...
BMCBI
2010
14 years 9 months ago
2010
Background: Microarray technology is a high-throughput method for measuring the expression levels of thousand of genes simultaneously. The observed intensities combine a non-speci...
77
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BMCBI
2007
14 years 9 months ago
2007
Background: Used alone, the MAS5.0 algorithm for generating expression summaries has been criticized for high False Positive rates resulting from exaggerated variance at low inten...
108
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FLAIRS
2004
14 years 11 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...
105
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BMCBI
2010
14 years 9 months ago
2010
Background: Many research results show that the biological systems are composed of functional modules. Members in the same module usually have common functions. This is useful inf...