gene expression data

Description Usage Arguments

This function is rather particular for ExpCube. It creates a series of GLM models, one for each "Expected" signature type. The function outputs a list of glm models and a new table analogous to sigmetrics.

1 2	E3MakeGLMs(sigmetrics, group.covariates = NULL, glm.covariate = NULL, glm.readcounts = TRUE, depth.col = "Depth_M_reads")

`sigmetrics`	- a data frame with columns "Group", "Expected", "Overlap"
`group.covariates`	-
`glm.covariate`	- character. Name of column in group.covariates to use in the glm model
`glm.readcounts`	- logical. Set TRUE to include a term in the glm model for read depth.
`depth.col`	- column identifier. Column in sigmetrics holding depth data.