Bioconductor-mirror/PAPi: Predict metabolic pathway activity based on metabolomics data
Version 1.17.0

The Pathway Activity Profiling - PAPi - is an R package for predicting the activity of metabolic pathways based solely on a metabolomics data set containing a list of metabolites identified and their respective abundances in different biological samples. PAPi generates hypothesis that improves the final biological interpretation. See Aggio, R.B.M; Ruggiero, K. and Villas-Boas, S.G. (2010) - Pathway Activity Profiling (PAPi): from metabolite profile to metabolic pathway activity. Bioinformatics.

Getting started

Package details

AuthorRaphael Aggio
Bioconductor views MassSpectrometry Metabolomics
MaintainerRaphael Aggio <[email protected]>
LicenseGPL(>= 2)
Version1.17.0
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/PAPi")
Bioconductor-mirror/PAPi documentation built on May 31, 2017, 9:39 p.m.