Author

Raquel de Melo Barbosa

Universidade Federal do Rio Grande do NorteORCID 0000-0003-3798-5512Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Research Focus:variant calling· 1 Approach:variational autoencoder· 1 Organism:virus· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Gabriel Bezerra Motta CâmaraiD· 1 shared Marcelo A. C. FernandesiD· 1 shared Maria G. F. CoutinhoiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Gabriel Bezerra Motta CâmaraORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintOct 14, 2021

Deep learning based on stacked sparse autoencoder applied to viral genome classification of SARS-CoV-2 virus

Maria G. F. Coutinho, Gabriel Bezerra Motta Câmara, Raquel de Melo Barbosa, Marcelo A. C. Fernandes

This paper applies stacked sparse autoencoders to classify SARS-CoV-2 genomes using k-mer image representations, achieving good performance in taxonomic classification.

4 citations

viruswhole-genome sequencing

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