<p>Boosting the accuracy of protein secondary structure prediction through nearest neighbor search and method hybridization</p>

SPENCER KRIEGER; John Kececioglu

doi:10.7490/f1000research.1118275.1

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KRIEGER S and Kececioglu J. Boosting the accuracy of protein secondary structure prediction through nearest neighbor search and method hybridization [version 1; not peer reviewed]. F1000Research 2020, 9(ISCB Comm J):1036 (slides) (https://doi.org/10.7490/f1000research.1118275.1)

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Boosting the accuracy of protein secondary structure prediction through nearest neighbor search and method hybridization

SPENCER KRIEGER¹, John Kececioglu

Published 24 Aug 2020 (https://doi.org/10.7490/f1000research.1118275.1)

Author Affiliations

¹ University of Arizona, USA

Copyright © 2020 KRIEGER S and Kececioglu J. 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 24 Aug 2020

Boosting the accuracy of protein secondary structure prediction through nearest neighbor search and method hybridization
[version 1; not peer reviewed]

SPENCER KRIEGER¹, John Kececioglu

Author Affiliations

¹ University of Arizona, USA

Presented at

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

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Protein secondary structure prediction, nearest neighbor search, dynamic programming, maximum likelihood, hybrid methods

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