PANDA: Preferential Attachment Based Common Neighbor Distribution Derived Functional Associations

PANDA (Preferential Attachment based common Neighbor Distribution derived Associations) is designed to perform the following tasks in PPI networks: (1) identify significantly functionally associated protein pairs, (2) predict GO terms and KEGG pathways for proteins, (3) make a cluster of proteins based on the significant protein pairs, (4) identify subclusters whose members are enriched in KEGG pathways. For other types of biological networks, (1) and (3) can still be performed.

Version: 0.9.9
Depends: R (≥ 2.10)
Imports: GO.db, cluster
Published: 2016-12-05
Author: Hua Li and Pan Tong
Maintainer: Hua Li <kaixinsjtu at hotmail.com>
License: Artistic-2.0
NeedsCompilation: no
Materials: README
CRAN checks: PANDA results

Downloads:

Reference manual: PANDA.pdf
Vignettes: PANDA Vignette
Package source: PANDA_0.9.9.tar.gz
Windows binaries: r-devel: PANDA_0.9.9.zip, r-release: PANDA_0.9.9.zip, r-oldrel: PANDA_0.9.9.zip
OS X Mavericks binaries: r-release: PANDA_0.9.9.tgz, r-oldrel: PANDA_0.9.9.tgz

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