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.