factDesign: Factorial designed microarray experiment analysis

This package provides a set of tools for analyzing data from a factorial designed microarray experiment, or any microarray experiment for which a linear model is appropriate. The functions can be used to evaluate tests of contrast of biological interest and perform single outlier detection.

Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("factDesign")
AuthorDenise Scholtens
Bioconductor views DifferentialExpression Microarray
Date of publicationNone
MaintainerDenise Scholtens <dscholtens@northwestern.edu>
LicenseLGPL
Version1.52.0

View on Bioconductor

Files

DESCRIPTION
NAMESPACE
R
R/contrastTest.R R/findFC.R R/kRepsOverA.R R/madOutPair.R R/outlierPair.R R/par2lambda.R
build
build/vignette.rds
data
data/estrogen.rda
inst
inst/doc
inst/doc/factDesign.R
inst/doc/factDesign.Rnw
inst/doc/factDesign.pdf
man
man/contrasts.Rd man/estrogen.Rd man/findFC.Rd man/kRepsOverA.Rd man/outliers.Rd
vignettes
vignettes/factDesign.Rnw

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.