rmRNAseq (version 0.1.0)

DESeq2Fit: Analysis of LPS RFI RNA-seq data Using DESeq2

Description

This function analyzes the LPS RFI RNA-seq data and simulated datasets using DESeq, the Quasi-likelihood F-test in DESeq2 package.

Usage

DESeq2Fit(counts, design, Effect)

Arguments

counts

a matrix of count data.

design

a design matrix.

Effect

the effect used to simulate data, either line2, or time. This effect is considered as the main factor of interest where the status of DE and EE genes was specified. @param covset a data frame contain covariate set.

Value

a list of 4 components

fit

output of DESeq function.

pv

a vector of p-values of the test for significant of Effect.

qv

a vector of q-values corresponding to the pv above.

Examples

# NOT RUN {
data(dat)
data(design)
counts <- dat[1:100,]
design <- design
Effect <- "line2"
DESeq2Fitout <- rmRNAseq:::DESeq2Fit(counts, design, Effect)
names(DESeq2Fitout)
# }