<p>Predicting anti-cancer peptides using deep neural networks</p>

Nathaniel Lane; Indika Kahanda

doi:10.7490/f1000research.1118290.1

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Lane N and Kahanda I. Predicting anti-cancer peptides using deep neural networks [version 1; not peer reviewed]. F1000Research 2020, 9(ISCB Comm J):1066 (slides) (https://doi.org/10.7490/f1000research.1118290.1)

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Predicting anti-cancer peptides using deep neural networks

Nathaniel Lane¹, Indika Kahanda

Published 29 Aug 2020 (https://doi.org/10.7490/f1000research.1118290.1)

Author Affiliations

¹ Montana State University, Bozeman, USA

Copyright © 2020 Lane N and Kahanda I. 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 29 Aug 2020

Predicting anti-cancer peptides using deep neural networks
[version 1; not peer reviewed]

Nathaniel Lane¹, Indika Kahanda

Author Affiliations

¹ Montana State University, Bozeman, USA

Presented at

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

Abstract

Competing Interests

No competing interests were disclosed

Keywords

anticancer peptides, recurrent neural networks, convolutional neural networks, neural networks, deep learning

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