571 search results - page 60 / 115 » Feature Selection and Gene Clustering from Gene Expression D... |
102
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BMCBI
2008
14 years 12 months ago
2008
Background: Many statistical methods have been proposed to identify disease biomarkers from gene expression profiles. However, from gene expression profile data alone, statistical...
BMCBI
2010
14 years 12 months ago
2010
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...
BMCBI
2008
14 years 12 months ago
2008
Background: The analysis of gene sets has become a popular topic in recent times, with researchers attempting to improve the interpretability and reproducibility of their microarr...
BMCBI
2006
14 years 12 months ago
2006
Background: The choice of probe set algorithms for expression summary in a GeneChip study has a great impact on subsequent gene expression data analysis. Spiked-in cRNAs with know...
104
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BMCBI
2008
14 years 12 months ago
2008
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...