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goProfiles (version 1.28.0)

goProfiles: an R package for the statistical analysis of functional profiles

Description

The package implements methods to compare lists of genes based on comparing the corresponding 'functional profiles'.

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Version

Version

1.28.0

License

GPL-2

Maintainer

Alex Sanchez

Last Published

February 15th, 2017

Functions in goProfiles (1.28.0)

compareGeneLists

Compares two lists of genes by building (expanded) profiles and comparing them
goProfiles-package

Performs Gene Ontology based analysis using Functional Profiles.
GOTermsList

Functions to create and manage lists of GO terms associated with a vector of 'Entrez' identifiers
compareGOProfiles

Comparison of lists of genes through their functional profiles
basicProfile

Builds basic functional profile
conversionFunctions

Functions to transformconvert objects between different types
drosophila

Entrez identifiers for genes related with an eye mutation in drosophila
expandedProfile

Builds expanded profiles
expandedLevel

Function to create expanded levels which can contain GO Terms at different GO levels
printProfiles

Print functional profiles
CD4Ids

Entrez identifiers for CD4-TCells example
prostateIds

Prostate cancer-related genes
equivSummary

This function returns a brief summary of the equivalence test between two profiles.
equivalentGOProfiles

Are two lists of genes equivalent in terms of their Gene Ontology profiles?
plotProfiles

Plot functional profiles
omimIds

Entrez identifiers for disease-related genes in the OMIM database
fisherGOProfiles

GO Class-by-class Fisher tests in lists of genes characterized by their functional profiles
fitGOProfile

Does a "sample" GO profile 'pn', observed in a sample of 'n' genes, fit a "population" or "model" p0?
compareProfilesLists

Compares two of expanded profiles
compSummary

This function returns a brief summary of the comparison between two (expanded) profiles.
hugoIds

Entrez Identifiers obtained from the Human Genome Organization
mergeProfilesLists

Combines two lists of profiles into one