Journal of Biomedical Science and Engineering

Vol.11 No.6(2018), Paper ID 85690, 14 pages

DOI:10.4236/jbise.2018.116013

 

Improved Protein Phosphorylation Site Prediction by a New Combination of Feature Set and Feature Selection

 

Favorisen Rosyking Lumbanraja, Ngoc Giang Nguyen, Dau Phan, Mohammad Reza Faisal, Bahriddin Abapihi, Bedy Purnama, Mera Kartika Delimayanti, Mamoru Kubo, Kenji Satou

 

Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, Japan
Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, Japan
Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, Japan
Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, Japan
Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, Japan
Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, Japan
Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, Japan
Institute of Science and Engineering, Kanazawa University, Kanazawa, Japan
Institute of Science and Engineering, Kanazawa University, Kanazawa, Japan

 

Copyright © 2018 Favorisen Rosyking Lumbanraja, Ngoc Giang Nguyen, Dau Phan, Mohammad Reza Faisal, Bahriddin Abapihi, Bedy Purnama, Mera Kartika Delimayanti, Mamoru Kubo, Kenji Satou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


Lumbanraja, F. , Nguyen, N. , Phan, D. , Faisal, M. , Abapihi, B. , Purnama, B. , Delimayanti, M. , Kubo, M. and Satou, K. (2018) Improved Protein Phosphorylation Site Prediction by a New Combination of Feature Set and Feature Selection. Journal of Biomedical Science and Engineering, 11, 144-157. doi: 10.4236/jbise.2018.116013.

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