RRW: repeated random walks on genome-scale protein networks for local cluster discovery

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Date

2009-09-09

Author

MACROPOL, Kathy
Can, Tolga
Singh, Ambuj K.

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Background: We propose an efficient and biologically sensitive algorithm based on repeated random walks (RRW) for discovering functional modules, e. g., complexes and pathways, within large-scale protein networks. Compared to existing cluster identification techniques, RRW implicitly makes use of network topology, edge weights, and long range interactions between proteins.

Subject Keywords

Complexes, Algorithms, Modules

URI

https://hdl.handle.net/11511/47692

Journal

BMC BIOINFORMATICS

DOI

https://doi.org/10.1186/1471-2105-10-283

Collections

Department of Computer Engineering, Article

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Citation Formats

K. MACROPOL, T. Can, and A. K. Singh, “RRW: repeated random walks on genome-scale protein networks for local cluster discovery,” BMC BIOINFORMATICS, pp. 0–0, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/47692.