PECA

DOI:10.18129/B9.bioc.PECA

This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, seePECA.

Probe-level Expression Change Averaging

Bioconductor version: 3.8

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.

Author: Tomi Suomi, Jukka Hiissa, Laura L. Elo

Maintainer: Tomi Suomi

Installation

To install this package, start R (version "3.5") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("PECA")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

查看文档的版本包age installed in your system, start R and enter:

browseVignettes("PECA")

PDF	R Script	PECA: Probe-level Expression Change Averaging
PDF		Reference Manual
Text		NEWS

Details

biocViews	DifferentialExpression,DifferentialSplicing,ExonArray,GeneExpression,Microarray,Proteomics,Software
Version	1.18.0
In Bioconductor since	BioC 2.14 (R-3.1) (5 years)
License	GPL (>= 2)
Depends	R (>= 3.3)
Imports	ROTS,limma,affy,genefilter,preprocessCore,aroma.affymetrix,aroma.core
LinkingTo
Suggests	SpikeIn
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me	SWATH2stats
Links To Me
Build Report

Package Archives

Follow2021年欧洲杯比分预测 instructions to use this package in your R session.

Source Package	PECA_1.18.0.tar.gz
Windows Binary	PECA_1.18.0.zip(32- & 64-bit)
Mac OS X 10.11 (El Capitan)	PECA_1.18.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/PECA
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/PECA
Package Short Url	//www.andersvercelli.com/packages/PECA/
Package Downloads Report	Download Stats