SAM Features
- Data from Oligo or cDNA arrays, SNP array, protein arrays,etc. can be utilized in SAM
- Correlates expression data to clinical parameters
- Correlates expression data with time
- Uses data permutation to estimates False Discovery Rate for multiple testing
- Reports local false discovery rate (the FDR for genes having a similar di as that gene) and miss rates
- Can work with blocked design for when treatments are applied within different batches of arrays
- Can adjust threshold determining number of gene called significant
Read more about this topic: Significance Analysis Of Microarrays
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