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The Scientific World Journal
Volume 2014, Article ID 240673, 7 pages
http://dx.doi.org/10.1155/2014/240673
Research Article

Prediction of Protein-Protein Interaction Strength Using Domain Features with Supervised Regression

1Department of Biosciences and Informatics, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan
2Japan Ichiba Section Development Unit, Rakuten Inc., 4-12-3 Higashi-shinagawa, Shinagawa-ku, Tokyo 140-0002, Japan
3Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto 611-0011, Japan

Received 3 April 2014; Accepted 30 May 2014; Published 24 June 2014

Academic Editor: Loris Nanni

Copyright © 2014 Mayumi Kamada 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

Mayumi Kamada, Yusuke Sakuma, Morihiro Hayashida, and Tatsuya Akutsu, “Prediction of Protein-Protein Interaction Strength Using Domain Features with Supervised Regression,” The Scientific World Journal, vol. 2014, Article ID 240673, 7 pages, 2014. https://doi.org/10.1155/2014/240673.