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Author

Adriano Cortês

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Universidade Federal do Rio de JaneiroORCID 0000-0002-2941-2522Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1Research Focus:cell type annotation· 1Research Focus:clustering· 1Approach:deep learning· 1Research Focus:differential expression· 1Organism:human· 1Assay:scRNA-seq· 1Approach:statistical model· 1

Frequent Co-Authors

Fabrício Alves Barbosa da SilvaiD· 2 sharedÁgatha Ferreira de SouzaiD· 1 sharedAlessandra Beatriz Santos Rondon SouzaiD· 1 sharedAline dos Santos MoreiraiD· 1 sharedAna Paula D’Alincourt Carvalho-AssefiD· 1 sharedAudrien Alves Andrade de SouzaiD· 1 sharedBeatriz de Lima Alessio MülleriD· 1 sharedBruno PennaiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr
012024: 1 paper (click to filter)120242025: 0 papers20252026: 1 paper (click to filter)12026

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links
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CortêsFabrício Alves Barbosa da Silva · 2 shared papersSilva · 2Ágatha Ferreira de Souza · 1 shared paperSouza · 1Alessandra Beatriz Santos Rondon Souza · 1 shared paperSouza · 1Aline dos Santos Moreira · 1 shared paperMoreira · 1Ana Paula D’Alincourt Carvalho-Assef · 1 shared paperCarvalho-Assef · 1Audrien Alves Andrade de Souza · 1 shared paperSouza · 1Beatriz de Lima Alessio Müller · 1 shared paperMüller · 1Bruno Penna · 1 shared paperPenna · 1Fábio Aguiar-Alves · 1 shared paperAguiar-Alves · 1Felicita Mabel Duré · 1 shared paperDuré · 1
Focal author (center)Selected co-authorORCID co-authorUnlinked name
Curved chords = mutual co-authorship
2 shared papersSystems Biology
Fabrício Alves Barbosa da SilvaORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Harnessing Interpretable Deep Learning to Predict Resistance in Klebsiella pneumoniae

Nicolas da Matta Freire Araujo, Márcia da Silva Chagas, Mateus Fernandes Santos, Renata Freire Alves Pereira, Rafaela C. Brum, Felipe Ramos Pinheiro, Melise Chaves Silveira, Felicita Mabel Duré, Beatriz de Lima Alessio Müller, Audrien Alves Andrade de Souza, Alessandra Beatriz Santos Rondon Souza, Ágatha Ferreira de Souza, Ana Paula D’Alincourt Carvalho-Assef, Aline dos Santos Moreira, Marcelo Trindade dos Santos, , Fabrício Alves Barbosa da Silva

This paper introduces DeepMDC, a deep learning model for predicting antimicrobial resistance in Klebsiella pneumoniae using whole-genome data, achieving strong performance and providing interpretable insights into resistance mechanisms.

Frontiers in Cellular and Infection Microbiology · May 28, 2026Peer-reviewedSystems Biology