Bioconductor-mirror/PAA: PAA (Protein Array Analyzer)
Version 1.11.0

PAA imports single color (protein) microarray data that has been saved in gpr file format - esp. ProtoArray data. After preprocessing (background correction, batch filtering, normalization) univariate feature preselection is performed (e.g., using the "minimum M statistic" approach - hereinafter referred to as "mMs"). Subsequently, a multivariate feature selection is conducted to discover biomarker candidates. Therefore, either a frequency-based backwards elimination aproach or ensemble feature selection can be used. PAA provides a complete toolbox of analysis tools including several different plots for results examination and evaluation.

Getting started

Package details

AuthorMichael Turewicz [aut, cre], Martin Eisenacher [ctb, cre]
Bioconductor views Classification Microarray OneChannel Proteomics
MaintainerMichael Turewicz <[email protected]>, Martin Eisenacher <[email protected]>
LicenseBSD_3_clause + file LICENSE
Version1.11.0
URL http://www.ruhr-uni-bochum.de/mpc/software/PAA/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Bioconductor-mirror/PAA")
Bioconductor-mirror/PAA documentation built on May 31, 2017, 9:38 p.m.