Protein Classification Using Hybrid Feature Selection Technique

Author:

Singh Upendra,Tripathi Sudhakar

Publisher

Springer Singapore

Reference20 articles.

1. Lee, B.J., Lee, H.G., Ryu, K.H.: Design of a novel protein feature, enzyme function classification. In: CIT Workshops 2008. IEEE 8th International Conference on Computer and Information Technology Workshops, pp. 450–455. IEEE (2008)

2. Yadav, A., Jayaraman, V.K.: Structure based function prediction of proteins using fragment library frequency vectors. Bioinformation 8(19), 953–956 (2012)

3. Garg, A., Raghava, G.P.: A machine learning based method for the prediction of secretory proteins using amino acid composition, their order and similarity-search. Silico Biol. 8(2), 129–140 (2008)

4. Mer, A.S., Andrade-Navarro, M.A.: A novel approach for protein subcellular location prediction using amino acid exposure. BMC Bioinform. 14(1), 1 (2013)

5. Jensen, L.J., Skovgaard, M., Brunak, S.: Prediction of novel archaeal enzymes from sequence-derived features. Protein Sci. 11(12), 2894–2898 (2002)

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