New Proposal of Viral Genome Representation Applied in the Classification of SARS-CoV-2 with Deep Learning

Name: New Proposal of Viral Genome Representation Applied in the Classification of SARS-CoV-2 with Deep Learning
Creator: Luísa Souza
Published: 2023-01-25T17:17:01.576Z
Keywords: Bioinformatics, Virus

Souza, Luísa; Azevedo, Karolayne; Souza, Jackson; Barbosa, Raquel; Fernandes, Marcelo

doi:10.17632/kbxsjgkxfp.1

New Proposal of Viral Genome Representation Applied in the Classification of SARS-CoV-2 with Deep Learning

Published: 25 January 2023| Version 1 | DOI: 10.17632/kbxsjgkxfp.1

Contributors:

Luísa Souza, Karolayne Azevedo, Jackson Souza, Raquel Barbosa, Marcelo Fernandes

Description

Data and code associated with a new strategy for representing viral cDNA sequences, such as SARS-CoV-2, using a set of genomic signal processing techniques. The new strategy uses a pipeline of Chaos Game Representation (CGR) associated with Discrete Fourier Transform to be used in deep learning methods for viral classification.

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Universidade Federal do Rio Grande do Norte

New Proposal of Viral Genome Representation Applied in the Classification of SARS-CoV-2 with Deep Learning

Description

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