<p>A boosting approach for predicting slope of ALS</p>

Wen-Chieh Fang; Huan-Jui Chang; Chen  Yang; Hsih-Te Yang; Jung-Hsien Chiang

doi:10.7490/f1000research.1111120.1

Home Browse A boosting approach for predicting slope of ALS

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Fang WC, Chang HJ, Yang C et al. A boosting approach for predicting slope of ALS [version 1; not peer reviewed]. F1000Research 2015, 4:1409 (poster) (https://doi.org/10.7490/f1000research.1111120.1)

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A boosting approach for predicting slope of ALS

Wen-Chieh Fang¹, Huan-Jui Chang², Chen Yang¹, Hsih-Te Yang³, Jung-Hsien Chiang³

Published 08 Dec 2015 (https://doi.org/10.7490/f1000research.1111120.1)

Author Affiliations

¹ Department of Computer Science and Information Engineering, National Cheng Kung University, Taiwan
² Department of Economics, National Cheng Kung University, Taiwan
³ Department of Computer Science and Information Engineering, Institute of Medical Informatics, National Cheng Kung University, Taiwan

Copyright © 2015 Fang WC et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 08 Dec 2015

A boosting approach for predicting slope of ALS
[version 1; not peer reviewed]

Wen-Chieh Fang¹, Huan-Jui Chang², Chen Yang¹, Hsih-Te Yang³, Jung-Hsien Chiang³

Author Affiliations

Presented at

8th Annual RECOMB/ISCB Conference on Regulatory and Systems Genomics, with DREAM Challenges 2015

Abstract

Competing Interests

No competing interests were disclosed

Keywords

DREAM Challenge, Amyotrophic lateral sclerosis, information gain, boosting

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