Description Usage Arguments Details Value Author(s) References See Also Examples
Function to filter on intensity and variance as typically used in gene expression studies
1 2 3 4 5 6 | filterVarInt(
object,
IntCutOff = log2(100),
IntPropSamples = 0.25,
VarCutOff = 0.5
)
|
object |
ExpressionSet object |
IntCutOff |
cut-off value used for the intensity filt |
IntPropSamples |
proportion of samples used by the intensity
filter; by default |
VarCutOff |
cut-off value used for the variance filter |
The intensity filter implies that (by default) the intensity levels must be greater than log2(100) in at least 25 percent of the samples. The variance filter requires that the features have an interquartile range (IQR) greater than 0.5. Note that the IQR is quite insensitive to outliers such that genes with outlying expression values in a few samples are excluded as long as their overall variation is small.
Object of class ExpressionSet containing only the features that pass the variance and intensity filter.
Willem Talloen
Gentleman, R. et al. (2005). Bioinformatics and Computational Biology Solutions using R and BioConductor, New York: Springer. Goehlmann, H. and W. Talloen (2009). Gene Expression Studies Using Affymetrix Microarrays, Chapman \& Hall/CRC, p. 128.
1 2 3 4 5 | if (require(ALL)){
data(ALL, package = "ALL")
fALL <- filterVarInt(ALL)
fALL
}
|
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