<p>Predicting protein functions from sequence and interactions using a neuro-symbolic deep learning model</p>

Maxat Kulmanov; Mohammed Asif Khan; Robert Hoehndorf

doi:10.7490/f1000research.1114594.1

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Kulmanov M, Khan MA and Hoehndorf R. Predicting protein functions from sequence and interactions using a neuro-symbolic deep learning model [version 1; not peer reviewed]. F1000Research 2017, 6(ISCB Comm J):1345 (poster) (https://doi.org/10.7490/f1000research.1114594.1)

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Predicting protein functions from sequence and interactions using a neuro-symbolic deep learning model

Maxat Kulmanov¹, Mohammed Asif Khan, Robert Hoehndorf

Published 08 Aug 2017 (https://doi.org/10.7490/f1000research.1114594.1)

Author Affiliations

¹ King Abdullah University of Science and Technology, Saudi Arabia

Copyright © 2017 Kulmanov M 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

Predicting protein functions from sequence and interactions using a neuro-symbolic deep learning model
[version 1; not peer reviewed]

Maxat Kulmanov¹, Mohammed Asif Khan, Robert Hoehndorf

Author Affiliations

¹ King Abdullah University of Science and Technology, Saudi Arabia

Presented at

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

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Protein functions, machine learning, deep learning, interaction networks

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