GDSFunction: "GDSFunction"

Description Usage Arguments Value

Description

The GDSFunction performs the GDS model on the output of the DataProcessing function and is a regular R function. It is advised to use this function in its cluster version and not on a regular laptop as it will consume time and memory.

Usage

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GDSFunction(geneData, nsim = 1000, geneID, exonID, informativeCalls = TRUE,
  alpha = 0.5)

Arguments

geneData

The data with as rows the probesets and as columns the samples. Note that the first column should contain the gene IDs and the second column the exon IDs

nsim

The number of iterations to perform.

geneID

A vector of the gene IDs.

exonID

A vector of the exon IDs

informativeCalls

Logical. Should the I/NI calls method be perform before applying the GDS model?

alpha

The threshold for filtering in the I/NI calls method. Probesets with scores higher than alpha are kept.

Value

A list with an element for each gene with per gene the values returned by the inigds and gds functions.


GDS documentation built on May 2, 2019, 6:09 p.m.