979 search results - page 96 / 196 » Analysis of variance components in gene expression data |
BMCBI
2006
14 years 10 months ago
2006
Background: Microarray technology has made it possible to simultaneously measure the expression levels of large numbers of genes in a short time. Gene expression data is informati...
RECOMB
2002
Springer
15 years 10 months ago
2002
Springer
We present a probabilistic framework that models the process by which transcriptional binding explains the mRNA expression of different genes. Our joint probabilistic model unifie...
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ICDE
2004
IEEE
15 years 11 months ago
2004
IEEE
DNA Microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
BIOCOMP
2006
14 years 11 months ago
2006
In the past decades, many clustering algorithms have been proposed for the analysis of gene expression data, but little guidance is available to help choose among them. Given the ...
BMCBI
2008
14 years 10 months ago
2008
Background: The hierarchical clustering tree (HCT) with a dendrogram [1] and the singular value decomposition (SVD) with a dimension-reduced representative map [2] are popular met...