<p>A novel network alignment algorithm for extracting densest connected subgraphs in dual networks.</p>

PietroHiram Guzzi; Emanuel Salerno; Giuseppe  Tradigo; Pierangelo Veltri

doi:10.7490/f1000research.1118305.1

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Guzzi P, Salerno E, Tradigo G and Veltri P. A novel network alignment algorithm for extracting densest connected subgraphs in dual networks. [version 1; not peer reviewed]. F1000Research 2020, 9(ISCB Comm J):1090 (slides) (https://doi.org/10.7490/f1000research.1118305.1)

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A novel network alignment algorithm for extracting densest connected subgraphs in dual networks.

PietroHiram Guzzi¹, Emanuel Salerno, Giuseppe Tradigo, Pierangelo Veltri

Published 03 Sep 2020 (https://doi.org/10.7490/f1000research.1118305.1)

Author Affiliations

¹ Magna Graecia University of Catanzaro, Italy

Copyright © 2020 Guzzi P 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 03 Sep 2020

A novel network alignment algorithm for extracting densest connected subgraphs in dual networks.
[version 1; not peer reviewed]

PietroHiram Guzzi¹, Emanuel Salerno, Giuseppe Tradigo, Pierangelo Veltri

Author Affiliations

¹ Magna Graecia University of Catanzaro, Italy

Presented at

28th International Conference on Intelligent Systems for Molecular Biology (ISMB), NetBio COSI: Network Biology 2020

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Network Alignment, Dual Networks

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