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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Machine learning models exploring characteristic single-nucleotide signatures in yellow fever virus

Participants in the publication
Álvaro Salgado (Author)
Raquel C. de Melo-Minardi (Author)
Marta Giovanetti (Author)
Adriano Veloso (Author)
Francielly Morais-Rodrigues (Author)
Talita Adelino (Author)
Ronaldo de Jesus (Author)
Stephane Tosta (Author)
Vasco Azevedo (Author)
José Lourenco (Author)
BioISI - Biosystems & Integrative Sciences Institute
BioISI
Luiz Carlos J. Alcantara (Author)

Date of Publication
2022-12-12

Where published
PLOS ONE

Publication Identifiers
ISSN - 1932-6203

Publisher
Public Library of Science (PLoS)

Volume
17
Number
12

Starting page
e0278982

Document Identifiers
DOI - https://doi.org/10.1371/journal.pone.0278982
URL - http://dx.doi.org/10.1371/journal.pone.0278982


Export

APA
Álvaro Salgado, Raquel C. de Melo-Minardi, Marta Giovanetti, Adriano Veloso, Francielly Morais-Rodrigues, Talita Adelino, Ronaldo de Jesus, Stephane Tosta, Vasco Azevedo, José Lourenco, Luiz Carlos J. Alcantara, (2022). Machine learning models exploring characteristic single-nucleotide signatures in yellow fever virus. PLOS ONE, 17, ISSN 1932-6203. eISSN . http://dx.doi.org/10.1371/journal.pone.0278982

IEEE
Álvaro Salgado, Raquel C. de Melo-Minardi, Marta Giovanetti, Adriano Veloso, Francielly Morais-Rodrigues, Talita Adelino, Ronaldo de Jesus, Stephane Tosta, Vasco Azevedo, José Lourenco, Luiz Carlos J. Alcantara, "Machine learning models exploring characteristic single-nucleotide signatures in yellow fever virus" in PLOS ONE, vol. 17, 2022. 10.1371/journal.pone.0278982

BIBTEX
@article{56989, author = {Álvaro Salgado and Raquel C. de Melo-Minardi and Marta Giovanetti and Adriano Veloso and Francielly Morais-Rodrigues and Talita Adelino and Ronaldo de Jesus and Stephane Tosta and Vasco Azevedo and José Lourenco and Luiz Carlos J. Alcantara}, title = {Machine learning models exploring characteristic single-nucleotide signatures in yellow fever virus}, journal = {PLOS ONE}, year = 2022, volume = 17 }