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» Improving gene set analysis of microarray data by SAM-GS
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BMCBI
2005
110views more  BMCBI 2005»
13 years 7 months ago
Considerations when using the significance analysis of microarrays (SAM) algorithm
Background: Users of microarray technology typically strive to use universally acceptable data analysis strategies to determine significant expression changes in their experiments...
Ola Larsson, Claes Wahlestedt, James A. Timmons
BMCBI
2006
126views more  BMCBI 2006»
13 years 7 months ago
Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass ge
Background: Due to the large number of genes in a typical microarray dataset, feature selection looks set to play an important role in reducing noise and computational cost in gen...
Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
BMCBI
2008
122views more  BMCBI 2008»
13 years 7 months ago
Determining gene expression on a single pair of microarrays
Background: In microarray experiments the numbers of replicates are often limited due to factors such as cost, availability of sample or poor hybridization. There are currently fe...
Robert W. Reid, Anthony A. Fodor
RECOMB
2001
Springer
14 years 7 months ago
Analysis techniques for microarray time-series data
We address possible limitations of publicly available data sets of yeast gene expression. We study the predictability of known regulators via time-series analysis, and show that l...
Vladimir Filkov, Steven Skiena, Jizu Zhi
BMCBI
2007
186views more  BMCBI 2007»
13 years 7 months ago
GeneBins: a database for classifying gene expression data, with application to plant genome arrays
Background: To interpret microarray experiments, several ontological analysis tools have been developed. However, current tools are limited to specific organisms. Results: We deve...
Nicolas Goffard, Georg Weiller