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)
Wikipedia

Related topics

Related topics

5 relations
ArrayTrackDNA microarrayMicroarrayR language
(More)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2009
2009
A-MADMAN: Annotation-based microarray data meta-analysis tool
Publicly available datasets of microarray gene expression signals represent an unprecedented opportunity for extracting genomic… (More)
Is this relevant?
2007
2007
A weighted average difference method for detecting differentially expressed genes from microarray data
Identification of differentially expressed genes (DEGs) under different experimental conditions is an important task in many… (More)
  • table 2
  • table 1
  • table 3
  • table 4
  • table 5
Is this relevant?
Highly Cited
2006
Highly Cited
2006
Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data
Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data… (More)
  • table 1
Is this relevant?
Highly Cited
2005
Highly Cited
2005
Considerations when using the significance analysis of microarrays (SAM) algorithm
Users of microarray technology typically strive to use universally acceptable data analysis strategies to determine significant… (More)
Is this relevant?
Highly Cited
2005
Highly Cited
2005
STEM: a tool for the analysis of short time series gene expression data
Time series microarray experiments are widely used to study dynamical biological processes. Due to the cost of microarray… (More)
  • figure 5
  • figure 7
  • figure 3
Is this relevant?
Highly Cited
2005
Highly Cited
2005
Cross-platform comparability of microarray technology: Intra-platform consistency and appropriate data analysis procedures are essential
The acceptance of microarray technology in regulatory decision-making is being challenged by the existence of various platforms… (More)
  • table 1
  • table 2
  • table 3
Is this relevant?
Highly Cited
2005
Highly Cited
2005
Statistical analysis of real-time PCR data
Even though real-time PCR has been broadly applied in biomedical sciences, data processing procedures for the analysis of… (More)
  • table 1
  • table 2
  • table 3
Is this relevant?
2004
2004
Significance analysis of microarrays using rank scores
The Significance Analysis of Microarrays (SAM) software is a very practical tool for detecting significantly expressed genes and… (More)
  • figure 1
  • figure 2
Is this relevant?
2003
2003
Comparison of the empirical bayes and the significance analysis of microarrays
Microarrays enable to measure the expression levels of tens of thousands of genes simultaneously. One important statistical… (More)
  • figure 1
  • table 1
  • figure 2
  • figure 3
Is this relevant?
2002
2002
SAM "significance analysis of microarrays," users guide and technical document
2 Summary of Changes 3 2.1 Changes in SAM 2.21 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.2 Changes in… (More)
  • table 1
  • figure 1
  • figure 2
  • figure 4
  • table 5
Is this relevant?