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PANDA

The PANDA R package (Preferential Attachment based common Neighbor Distribution derived Associations) was designed to perform the following tasks: (1) identify significantly functionally associated protein pairs, (2) predict GO and KEGG terms for proteins, (3) make a cluster of proteins based on the significant protein pairs, (4) identify subclusters whose members are enriched in KEGG-pathways.

Installation

The devtools package is used to install R packages hosted on Github. To install PANDA, type the following commands in the R console:

    library(devtools)
    install_github("PANDA", "nickytong")

Usage

# load the package
library(PANDA)
	
# pull out vignette
vignette('PANDA')

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Version

Install

install.packages('PANDA')

Monthly Downloads

6

Version

0.9.9

License

Artistic-2.0

Maintainer

Hua Li

Last Published

December 5th, 2016

Functions in PANDA (0.9.9)

GENE2KEGG

An example of KEGG annotation data for proteins
ProteinCluster

Cluster proteins based on significant protein pairs
KEGGID2NAME

KEGG pathway ID to KEGG pathway name
SignificantPairs

Identify functionally associated protein pairs
KEGGpredict

Predict KEGG pathway annotations for proteins
dfPPI

An example of protein-protein interaction data
GENE2GOtopLite

An example of GO annotation data for proteins
SignificantSubcluster

Subclusters with KEGG annotations significantly enriched
GOpredict

Predict GO annotations for proteins