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.
|Bioconductor views||MassSpectrometry Metabolomics|
|Date of publication||None|
|Maintainer||Raphael Aggio <firstname.lastname@example.org>|
addKeggCodes: In a data frame, it substitutes the name of compounds by...
buildDatabase: Build a local database containing the required information...
keggLibrary: An example of the library mapping name of compounds to their...
metabolomicsData: An example of metabolomics data set used by 'addKeggCodes'.
papi: papi - Pathway Activity Profiling
papiData: An example of the data frame produced by 'addKeggCodes' and...
papiHtest: Apply ANOVA or t-test to results produced by 'papi'.
papiLine: papiLine generates a line graph of results obtained using...
PAPi-package: Pathway Activity Profiling
papiResults: An example of the data frame produced by 'papi'.
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