fill.NA: Replacement of missing values

In Mfuzz: Soft clustering of time series gene expression data

Description

Methods for replacement of missing values. Missing values should be indicated by NA in the expression matrix.

Usage

fill.NA(eset,mode="mean",k=10)

Arguments

eset	object of the class ExpressionSet.
mode	method for replacement of missing values: mean- missing values will be replaced by the mean expression value of the gene, median- missing values will be replaced by the median expression value of the gene, knn- missing values will be replaced by the averging over the corresponding expression values of the k-nearest neighbours, knnw-same replacement method as knn, but the expression values averaged are weighted by the distance to the corresponding neighbour
k	Number of neighbours, if one of the knn method for replacement is chosen (knn,knnw).

Value

The function produces an object of the ExpressionSet class with missing values replaced.

Note

The replacement methods knn and knnw can computationally intensive for large gene expression data sets. It may be a good idea to run these methods as a ‘lunchtime’ or ‘overnight’ job.

Author(s)

Matthias E. Futschik (http://itb.biologie.hu-berlin.de/~futschik) and Lokesh Kumar

Examples

if (interactive()){
data(yeast) # data set includes 17 measurements
yeastF <- filter.NA(yeast) 
yeastF <- fill.NA(yeastF)
}

Mfuzz documentation built on May 31, 2017, 10:59 a.m.