High-Performance Multiclass Classification Framework Using Cloud Computing Architecture-Reference-Cited by-同舟云学术

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High-Performance Multiclass Classification Framework Using Cloud Computing Architecture

Published:2015-11-21 Issue:6 Volume:35 Page:795-802
ISSN:1609-0985
Container-title:Journal of Medical and Biological Engineering
language:en
Short-container-title:J. Med. Biol. Eng.

Author:

Lin Feng-Sheng,Shen Chia-Ping,Liu Chia-Hung,Lin Han,Huang Chi-Ying F.,Kao Cheng-Yan,Lai Feipei,Lin Jeng-Wei

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s40846-015-0100-1.pdf

Reference32 articles.

1. Ramaswamy, S., Tamayo, P., Rifkin, R., Mukherjee, S., Yeang, C. H., Angelo, M., et al. (2001). Multiclass cancer diagnosis using tumor gene expression signatures. Proceedings of the National Academy of Sciences, 98, 15149–15154.

2. Rosenfeld, N., Aharonov, R., Meiri, E., Rosenwald, S., Spector, Y., Zepeniuk, M., et al. (2008). MicroRNAs accurately identify cancer tissue origin. Nature Biotechnology, 26, 462–469.

3. Tsai, M. H., Chen, J. M., Liu, Y. A., Jung, Y. L., Chan, Y. K., Horng, J. T., & Syu, J. H. (2013). Analysis and construction of genetic network for mice brain microarray datasets. Journal of Medical and Biological Engineering, 33, 400–405.

4. Chiu, C. C., Yeh, S. J., Hu, Y. H., & Liao, K. Y. K. (2014). SVM classification for diabetics with various degrees of autonomic neuropathy based on cross-correlation features. Journal of Medical and Biological Engineering, 34, 495–500.

5. Yu, G., Li, H., Ha, S., Shih, I. M., Clarke, R., Hoffman, E. P., et al. (2011). PUGSVM: a caBIGTM analytical tool for multiclass gene selection and predictive classification. Bioinformatics, 27, 736–738.

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