Classify a Protein Domain Using SVM Sigmoid Kernel-Reference-Cited by-同舟云学术

Classify a Protein Domain Using SVM Sigmoid Kernel

Published:2014 Issue: Volume: Page:143-151
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Hassan Ummi Kalsum,Nawi Nazri Mohd.,Kasim Shahreen,Ramli Azizul Azhar,Fudzee Mohd Farhan Md,Salamat Mohamad Aizi

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-07692-8_14

Reference26 articles.

1. Melvin, I., Weston, J., Leslie, C.S., Noble, W.S.: Combining Classifiers for Improved Classification of Proteins from Sequence or Structure. BMC Bioinformatics 9, 38–389 (2008)

2. Portugaly, E., Harel, A., Linial, N., Linial, M.: EVEREST: Automatic Identification and Classification of Protein Domains in All Protein Sequences. BMC Bioinformatics 7, 27–286 (2006)

3. Nagaranjan, N., Yona, G.: Automatic Prediction of Protein Domain from Sequence Information using a Hybrid Learning System. Bioinformatics 20, 1335–1360 (2004)

4. Gewehr, J.E., Zimmer, R.: SSEP-Domain: Protein Domain Prediction by Alignment of Secondary Structure Elements and Profiles. Bioinformatics 22, 181–187 (2006)

5. Orengo, A., Michie, A.D., Jones, S., Jones, D.T., Swindells, M.B., Thornton, J.M.: CATH-a Hierarchic Classification of Protein Domain Structures. Structure 5, 1093–1108 (1997)

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