<p>Deep learning of mutation-gene-drug relations from the literature for precision medicine</p>

Kyubum Lee; Byounggun Kim; Yonghwa Choi; Sunkyu Kim; Wonho Shin; Sunwon Lee; Sungjoon Park; Seongsoon Kim; Aik Choon Tan; Jaewoo Kang

doi:10.7490/f1000research.1114641.1

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Lee K, Kim B, Choi Y et al. Deep learning of mutation-gene-drug relations from the literature for precision medicine [version 1; not peer reviewed]. F1000Research 2017, 6(ISCB Comm J):1386 (poster) (https://doi.org/10.7490/f1000research.1114641.1)

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Deep learning of mutation-gene-drug relations from the literature for precision medicine

Kyubum Lee, Byounggun Kim, Yonghwa Choi, Sunkyu Kim, Wonho Shin, Sunwon Lee, Sungjoon Park, Seongsoon Kim, Aik Choon Tan¹, Jaewoo Kang²

Published 08 Aug 2017 (https://doi.org/10.7490/f1000research.1114641.1)

Author Affiliations

¹ University of Colorado, Anschutz Medical Campus, USA
² Korea University, South Korea

Copyright © 2017 Lee K 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 Aug 2017

Deep learning of mutation-gene-drug relations from the literature for precision medicine
[version 1; not peer reviewed]

Kyubum Lee, Byounggun Kim, Yonghwa Choi, Sunkyu Kim, Wonho Shin, Sunwon Lee, Sungjoon Park, Seongsoon Kim, Aik Choon Tan¹, Jaewoo Kang²

Author Affiliations

¹ University of Colorado, Anschutz Medical Campus, USA
² Korea University, South Korea

Presented at

Joint 25th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and 16th European Conference on Computational Biology (ECCB) 2017

Competing Interests

No competing interests were disclosed

Keywords

BioNLP, variant, deep learning, CNN, text mining

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