Filtering of genes based on their standard deviation.
This function can be used to exclude genes with low standard deviation.
object of the class ExpressionSet.
threshold for minimum standard deviation. If
the standard deviation of a gene's expression is smaller than
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)
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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