lumiN {lumi}R Documentation

Between chip normalization of a LumiBatch object


A main function of between chip normalization of a LumiBatch object. Currently, four methods ("rsn", "ssn", "quantile", "loess", "vsn") are supported.


lumiN(x.lumi, method = c("quantile", "rsn", "ssn", "loess", "vsn"), verbose = TRUE, ...)


x.lumi an ExpressionSet inherited object or a data matrix with columns as samples and rows as genes
method four different between chips normalization methods ("quantile", "rsn", "ssn", "loess", "vsn") are supported
verbose a boolean to decide whether to print out some messages
... other parameters used by corresponding method


lumiN is an interface for different normalization methods. Currently it supports "RSN" (See rsn), "SSN" (See ssn), "loess" (See normalize.loess), "quantile" (See normalize.quantiles) and "VSN" (See vsn). See details in individual functions. Note: the "VSN" normalization should be directly applied to the raw data instead of the lumiT processed data.


Return an object with expression values normalized. The class of the return object is the same as the input object x.lumi. If it is a LumiBatch object, it also includes the VST transform function and its parameters as attributes: "transformFun", "parameter". See inverseVST for details.


Pan Du, Simon Lin

See Also

rsn, ssn


## load example data

## Do lumi transform
lumi.T <- lumiT(example.lumi)

## Do lumi between chip normaliazation
lumi.N <- lumiN(lumi.T, method='rsn', ifPlot=TRUE)

[Package lumi version 1.8.3 Index]