645 search results - page 45 / 129 » A Parallel Algorithm for Gene Expressing Data Biclustering |
138
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BMCBI
2010
14 years 7 months ago
2010
Background: Nonparametric Bayesian techniques have been developed recently to extend the sophistication of factor models, allowing one to infer the number of appropriate factors f...
113
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BMCBI
2004
15 years 11 days ago
2004
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
96
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ISNN
2004
Springer
15 years 5 months ago
2004
Springer
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...
127
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TCBB
2010
14 years 11 months ago
2010
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
110
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BMCBI
2007
15 years 15 days ago
2007
Background: Gene Set Enrichment Analysis (GSEA) is a computational method for the statistical evaluation of sorted lists of genes or proteins. Originally GSEA was developed for in...