<p>Interpretable deep learning algorithms for prokaryotic genome annotation</p>

Hirak Sarkar; Rob Patro; Mohammad Ruhul Amin

doi:10.7490/f1000research.1118384.1

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Sarkar H, Patro R and Amin MR. Interpretable deep learning algorithms for prokaryotic genome annotation [version 1; not peer reviewed]. F1000Research 2020, 9(ISCB Comm J):1346 (poster) (https://doi.org/10.7490/f1000research.1118384.1)

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Interpretable deep learning algorithms for prokaryotic genome annotation

Hirak Sarkar, Rob Patro, Mohammad Ruhul Amin¹

Published 18 Nov 2020 (https://doi.org/10.7490/f1000research.1118384.1)

Author Affiliations

¹ Fordham University, USA

Copyright © 2020 Sarkar H 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 18 Nov 2020

Interpretable deep learning algorithms for prokaryotic genome annotation
[version 1; not peer reviewed]

Hirak Sarkar, Rob Patro, Mohammad Ruhul Amin¹

Author Affiliations

¹ Fordham University, USA

Presented at

28th International Conference on Intelligent Systems for Molecular Biology (ISMB) 2020

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Genome Annotation, Interpretable Deep Learning, Anti-Shine-Dalgarno, Protein Synthesis

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