Classification of Protein Interactions Based on Sparse Discriminant Analysis and Energetic Features
Prediction of protein-protein interaction (PPI) types is an important problem in life sciences because of fundamental role of PPIs in many biological processes. In this paper we propose a new classification approach based on the extended classical Fisher linear discriminant analysis (FLDA) to predict obligate and non-obligate protein-protein interactions. To characterize properties of the protein interaction, we proposed to use the binding free energies (total of 282 features). The obtained results are better than in the previous studies.
KeywordsSparse discriminant analysis Feature selection Protein-protein interaction
- 9.Rueda, L., Garate, C., Banerjee, S., Mominul Aziz, M.: Biological protein-protein interaction prediction using binding free energies and linear dimensionality reduction. In: Dijkstra, T.M., Tsivtsivadze, E., Marchiori, E., Heskes, T. (eds.) PRIB 2010. LNCS, vol. 6282, pp. 383–394. Springer, Heidelberg (2010)CrossRefGoogle Scholar
- 11.Stąpor, K.: Classification methods in computer vision. PWN, Warszawa (2011) (in Polish)Google Scholar
- 12.Qiao, Z., Zhou, L., Huang, J.: Sparse linear discriminant analysis with applications to high dimensional low sample size data. IAENG Int. J. Appl. Math. 39, 1 (2009)Google Scholar
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