SAM: Significance Analysis of Microarrays
Significance Analysis of Microarrays for differential expression analysis, RNAseq data and related problems.
Significance analysis of microarrays - simple user interface
Significance analysis of sequencing data - simple user interface
Run the sam webapp
Significance analysis of microarrays
Assess the sample size for a SAM analysis
Make a plot of the results from samr.assess.samplesize
Compute delta table for SAM analysis
Compute significant genes table
estimate the sequencing depth
Internal samr functions
Estimate the miss rate table for a SAM analysis
output normalized sequencing data
Make Q-Q plot for SAM analysis
Report estimated p-values for each gene, from a SAM analysis
Estimate tail strength for a dataset, from a SAM analysis
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