R: Detect differential expression in microarray and proteomics datasets with the Power Law Global Error Model (PLGEM)

# Detect differential expression in microarray and proteomics datasets with the Power Law Global Error Model (PLGEM)

## Documentation for package ‘plgem’ version 1.84.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

LPSeset | ExpressionSet for Testing PLGEM
plgem.deg | Selection of Differentially Expressed Genes/Proteins With PLGEM
plgem.fit | PLGEM Fitting and Evaluation
plgem.obsStn | Computation of Observed PLGEM-STN Statistics
plgem.pValue | Computation of PLGEM p-values
plgem.resampledStn | Computation of Resampled PLGEM-STN Statistics
plgem.write.summary | Write the Result of a PLGEM Analysis to the Working Directory
run.plgem | Wrapper for Power Law Global Error Model (PLGEM) analysis method
setGpar | Set graphical parameters for PLGEM fitting evaluation plots