annotation-method | Class PLMset |
bg.correct.LESN | LESN - Low End Signal is Noise Background corrections |
boxplot-method | Class PLMset |
cdfName-method | Class PLMset |
coefs | Class PLMset |
coefs-method | Class PLMset |
coefs.const | Class PLMset |
coefs.const-method | Class PLMset |
coefs.probe | Class PLMset |
coefs.probe-method | Class PLMset |
coefs<- | Class PLMset |
coefs<--method | Class PLMset |
description-method | Class PLMset |
fitPLM | Fit a Probe Level Model to Affymetrix Genechip Data. |
getCdfInfo-method | Class PLMset |
image-method | Class PLMset |
indexProbes-method | Class PLMset |
indexProbesProcessed | Class PLMset |
indexProbesProcessed-method | Class PLMset |
MAplot | Relative M vs. A plots |
MAplot-method | Relative M vs. A plots |
Mbox | Class PLMset |
Mbox-method | Class PLMset |
model.description | Class PLMset |
model.description-method | Class PLMset |
normalize.AffyBatch.quantiles.probeset | Quantile Normalization applied to probesets |
normalize.AffyBatch.scaling | Scaling normalization |
normalize.ExpressionSet.contrasts | Normalization applied to ExpressionSets |
normalize.ExpressionSet.invariantset | Normalization applied to ExpressionSets |
normalize.ExpressionSet.loess | Normalization applied to ExpressionSets |
normalize.ExpressionSet.methods | Normalization applied to ExpressionSets |
normalize.ExpressionSet.qspline | Normalization applied to ExpressionSets |
normalize.ExpressionSet.quantiles | Normalization applied to ExpressionSets |
normalize.ExpressionSet.scaling | Normalization applied to ExpressionSets |
normalize.scaling | Scaling normalization |
normvec | Class PLMset |
normvec-method | Class PLMset |
NUSE | Class PLMset |
nuse | Class PLMset |
NUSE-method | Class PLMset |
nuse-method | Class PLMset |
pData-method | Class PLMset |
pData<--method | Class PLMset |
phenoData-method | Class PLMset |
phenoData<--method | Class PLMset |
PLMset | Class PLMset |
PLMset-class | Class PLMset |
PLMset2exprSet | Convert a PLMset to an ExpressionSet |
preprocess | Background correct and Normalize |
pset2eset | Convert a PLMset to an ExpressionSet |
pseudoColorBar | Coloring pseudo chip images |
pseudoPalette | Coloring pseudo chip images |
ReadRMAExpress | Read RMAExpress computed expression values |
resid | Class PLMset |
resid-method | Class PLMset |
resid<- | Class PLMset |
resid<--method | Class PLMset |
residSE | Class PLMset |
residSE-method | Class PLMset |
residuals | Class PLMset |
residuals-method | Class PLMset |
residuals<- | Class PLMset |
residuals<--method | Class PLMset |
RLE | Class PLMset |
RLE-method | Class PLMset |
rmaPLM | Fit a RMA to Affymetrix Genechip Data as a PLMset |
sampleNames-method | Class PLMset |
sampleNames<- | Class PLMset |
sampleNames<--method | Class PLMset |
se | Class PLMset |
se-method | Class PLMset |
se.const | Class PLMset |
se.const-method | Class PLMset |
se.probe | Class PLMset |
se.probe-method | Class PLMset |
se<- | Class PLMset |
se<--method | Class PLMset |
show-method | Class PLMset |
summary-method | Class PLMset |
threestep | Three Step expression measures |
threestepPLM | Three Step expression measures returned as a PLMset |
varcov | Class PLMset |
varcov-method | Class PLMset |
weights | Class PLMset |
weights-method | Class PLMset |
weights<- | Class PLMset |
weights<--method | Class PLMset |