Significance analysis of microarrays

Known as: SAM: Significance Analysis of Microarrays, Sam 
Significance analysis of microarrays (SAM) is a statistical technique, established in 2001 by Virginia Tusher, Robert Tibshirani and Gilbert Chu, for… (More)
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2009
2009
Publicly available datasets of microarray gene expression signals represent an unprecedented opportunity for extracting genomic… (More)
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2007
2007
Identification of differentially expressed genes (DEGs) under different experimental conditions is an important task in many… (More)
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Highly Cited
2006
Highly Cited
2006
Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data… (More)
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Highly Cited
2005
Highly Cited
2005
Users of microarray technology typically strive to use universally acceptable data analysis strategies to determine significant… (More)
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Highly Cited
2005
Highly Cited
2005
Time series microarray experiments are widely used to study dynamical biological processes. Due to the cost of microarray… (More)
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Highly Cited
2005
Highly Cited
2005
The acceptance of microarray technology in regulatory decision-making is being challenged by the existence of various platforms… (More)
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Highly Cited
2005
Highly Cited
2005
Even though real-time PCR has been broadly applied in biomedical sciences, data processing procedures for the analysis of… (More)
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2004
2004
The Significance Analysis of Microarrays (SAM) software is a very practical tool for detecting significantly expressed genes and… (More)
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2003
2003
Microarrays enable to measure the expression levels of tens of thousands of genes simultaneously. One important statistical… (More)
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2002
2002
2 Summary of Changes 3 2.1 Changes in SAM 2.21 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.2 Changes in… (More)
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