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. |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.