gene expression data

This goal is to find genes that are prone to batch effects, i.e. that differ between batches more than their intervals would suggest.

1 2	E3CalcAcrossGroupIntervalRescaleFactors(sampledata, id.col = "Gene", bg.samples = NULL, upper.quantile = 0.85, min.factor = 1)

`sampledata`	- a list with tables "expression", "expression.low", "expression.high"
`id.col`	- character strings. Name of column in sampledata that identifies the gene/transcript species
`bg.samples`	- list of sample names. Each vector should represent a group of related samples (replicates). The function will compute variability between across these groups.
`upper.quantile`	- numeric. The quantile used to equalize the input and output intervals.
`min.factor`	- numeric. Minimum rescaling factor, i.e. when procedure gives a suggestion to rescale by a factor lower than this, the output will in fact be min.factor.