<p>A self-training approach for functional annotation of UniProtKB proteins</p>

Maryam Abdollahyan; Rabie Saidi; Fabrizio Smeraldi; Maria J. Martin

doi:10.7490/f1000research.1114625.1

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Abdollahyan M, Saidi R, Smeraldi F and Martin MJ. A self-training approach for functional annotation of UniProtKB proteins [version 1; not peer reviewed]. F1000Research 2017, 6(ISCB Comm J):1373 (poster) (https://doi.org/10.7490/f1000research.1114625.1)

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A self-training approach for functional annotation of UniProtKB proteins

Maryam Abdollahyan¹, Rabie Saidi², Fabrizio Smeraldi, Maria J. Martin

Published 08 Aug 2017 (https://doi.org/10.7490/f1000research.1114625.1)

Author Affiliations

¹ Queen Mary, University of London, UK
² EMBL-EBI, UK

Copyright © 2017 Abdollahyan 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

A self-training approach for functional annotation of UniProtKB proteins
[version 1; not peer reviewed]

Maryam Abdollahyan¹, Rabie Saidi², Fabrizio Smeraldi, Maria J. Martin

Author Affiliations

¹ Queen Mary, University of London, UK
² EMBL-EBI, UK

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

Automatic annotation, self-training, metabolic pathways

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