PANDA (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.
|Maintainer||Hua Li <[email protected]>|
|Package repository||View on GitHub|
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