normfit: A function that returns your DEG in the form of nromfit

In hawkdidy/hugenedeg: Differential gene expression analysis for HuGene 2.0 ST micrroarrays.

Description

Then it will fit a linear models to determine the mean values of your genes and use ebayes to shrink the variance

Usage

normfit(normData, group, design, contrast)

Arguments

normData	Normalized data.
group	Data grouping.
design	Design matrix.
contrast	Contrast matrix

Examples

group <- factor(c((rep.int(0,13)),rep.int(1,14),rep.int(2,14)
,rep.int(3,14),rep.int(4,14)))

design <- model.matrix(~ 0 + group)
colnames(design) <- c("I","T1","T2","T3", "T4")
contrast <- makeContrasts( "I-T1","T1-T2","T2-T3","T3-T4",
                          levels= design )
normfit(normData, group, design, contrast)

hawkdidy/hugenedeg documentation built on May 17, 2019, 3:06 p.m.