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.

AuthorDenise Scholtens
Date of publicationNone
MaintainerDenise Scholtens <dscholtens@northwestern.edu>
LicenseLGPL
Version1.50.0

View on Bioconductor

Files

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

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

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

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