Integrating multi-attribute similarity networks for robust representation of the protein space

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2006-07-01

Author

Camoglu, Orhan
Can, Tolga
Singh, Ambuj K.

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Motivation: A global view of the protein space is essential for functional and evolutionary analysis of proteins. In order to achieve this, a similarity network can be built using pairwise relationships among proteins. However, existing similarity networks employ a single similarity measure and therefore their utility depends highly on the quality of the selected measure. A more robust representation of the protein space can be realized if multiple sources of information are used.

Subject Keywords

Statistics and Probability, Computational Theory and Mathematics, Biochemistry, Molecular Biology, Computational Mathematics, Computer Science Applications

URI

https://hdl.handle.net/11511/35619

Journal

BIOINFORMATICS

DOI

https://doi.org/10.1093/bioinformatics/btl130

Collections

Department of Computer Engineering, Article

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Citation Formats

O. Camoglu, T. Can, and A. K. Singh, “Integrating multi-attribute similarity networks for robust representation of the protein space,” BIOINFORMATICS, pp. 1585–1592, 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/35619.