PECA: Probe-level Expression Change Averaging
Version 1.12.0

Calculates Probe-level Expression Change Averages (PECA) to identify differential expression in Affymetrix gene expression microarray studies or in proteomic studies using peptide-level mesurements respectively.

AuthorTomi Suomi, Jukka Hiissa, Laura L. Elo
Bioconductor views DifferentialExpression DifferentialSplicing ExonArray GeneExpression Microarray Proteomics Software
Date of publicationNone
MaintainerTomi Suomi <tomi.suomi@utu.fi>
LicenseGPL (>= 2)
Version1.12.0
Package repositoryView on Bioconductor
InstallationInstall the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("PECA")

Popular man pages

PECA: PECA differential gene expression
PECASI: PECA splicing index
See all...

All man pages Function index File listing

Man pages

PECA: PECA differential gene expression
PECASI: PECA splicing index

Functions

Files

DESCRIPTION
NAMESPACE
R
R/PECA.R
R/PECASI.R
R/calculateSI.R
R/filterROTS.R
R/flattenCellIndices.R
R/psim.R
R/tukey.R
build
build/vignette.rds
inst
inst/NEWS
inst/doc
inst/doc/PECA.R
inst/doc/PECA.Rnw
inst/doc/PECA.pdf
inst/extdata
inst/extdata/peptides.tsv
man
man/PECA.Rd
man/PECASI.Rd
vignettes
vignettes/PECA.Rnw
vignettes/diagram_peca.pdf
PECA documentation built on May 20, 2017, 9:27 p.m.

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