Filtering of genes based on their standard deviation.
This function can be used to exclude genes with low standard deviation.
filter.std(eset,min.std,visu=TRUE)
eset |
object of the class ExpressionSet. |
min.std |
threshold for minimum standard deviation. If
the standard deviation of a gene's expression is smaller than
|
visu |
If |
The function produces an object of the ExpressionSet class. It is the
same as the input eset object, except for the genes excluded.
As soft clustering is noise robust, pre-filtering can usually be avoided. However, if the number of genes with small expression changes is large, such pre-filtering may be necessary to reduce noise.
Matthias E. Futschik (http://itb.biologie.hu-berlin.de/~futschik)
data(yeast) # data set includes 17 measurements yeastF <- filter.NA(yeast) # filtering of genes based on missing values yeastF <- filter.std(yeastF,min.std=0.3) # filtering of genes based on standard deviation
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