Integration of topological measures for eliminating non-specific interactions in protein interaction networks

Date

2009-05-28

Author

BAYIR, Murat Ali
GUNEY, Tacettin Dogacan
Can, Tolga

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High-throughput protein interaction assays aim to provide a comprehensive list of interactions that govern the biological processes in a cell. These large-scale sets of interactions, represented as protein-protein interaction networks, are often analyzed by computational methods for detailed biological interpretation. However, as a result of the tradeoff between speed and accuracy, the interactions reported by high-throughput techniques occasionally include non-specific (i.e., false-positive) interactions. Unfortunately, many computational methods are sensitive to noise in protein interaction networks; and therefore they are not able to make biologically accurate inferences.

Subject Keywords

Applied Mathematics, Discrete Mathematics and Combinatorics

URI

https://hdl.handle.net/11511/34989

Journal

DISCRETE APPLIED MATHEMATICS

DOI

https://doi.org/10.1016/j.dam.2008.06.034

Collections

Department of Computer Engineering, Article

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Citation Formats

M. A. BAYIR, T. D. GUNEY, and T. Can, “Integration of topological measures for eliminating non-specific interactions in protein interaction networks,” DISCRETE APPLIED MATHEMATICS, pp. 2416–2424, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/34989.