<p>Contribution of features based on sequence, predicted PPIs and GO similarities to the prediction of gene-HPO associations</p>

Branislava Gemović; Radoslav Davidović; Neven Šumonja; Nevena Veljković; Vladimir Perović

doi:10.7490/f1000research.1114654.1

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Gemović B, Davidović R, Šumonja N et al. Contribution of features based on sequence, predicted PPIs and GO similarities to the prediction of gene-HPO associations [version 1; not peer reviewed]. F1000Research 2017, 6(ISCB Comm J):1401 (poster) (https://doi.org/10.7490/f1000research.1114654.1)

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Contribution of features based on sequence, predicted PPIs and GO similarities to the prediction of gene-HPO associations

Branislava Gemović¹, Radoslav Davidović, Neven Šumonja, Nevena Veljković¹, Vladimir Perović¹

Published 09 Aug 2017 (https://doi.org/10.7490/f1000research.1114654.1)

Author Affiliations

¹ Institute of Nuclear Sciences Vinca, University of Belgrade, Serbia

Copyright © 2017 Gemović B 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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Published 09 Aug 2017

Contribution of features based on sequence, predicted PPIs and GO similarities to the prediction of gene-HPO associations
[version 1; not peer reviewed]

Branislava Gemović¹, Radoslav Davidović, Neven Šumonja, Nevena Veljković¹, Vladimir Perović¹

Author Affiliations

¹ Institute of Nuclear Sciences Vinca, University of Belgrade, Serbia

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

Predicting HPO, spectral representation of sequence, protein-protein interactions, GO similarities, CAFA challenge

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