Detection of a SARS-CoV-2 sequence with genosensors using data analysis based on information visualization and machine learning techniques (2021)
- Authors:
- Soares, Juliana Coatrini

- Soares, Andrey Coatrini

- Rodrigues, Valquiria da Cruz
- Oiticica, Pedro Ramon Almeida

- Raymundo-Pereira, Paulo Augusto

- Bott Neto, José Luiz

- Buscaglia, Lorenzo A

- Castro, Lucas Daniel Chiba de

- Ribas, Lucas Correia

- Scabini, Leonardo Felipe dos Santos

- Brazaca, Lais Canniatti

- Correa, Daniel S.

- Mattoso, Luiz Henrique C
- Oliveira, Maria Cristina Ferreira de

- Carvalho, André Carlos Ponce de Leon Ferreira de

- Carrilho, Emanuel

- Bruno, Odemir Martinez

- Melendez, Matias Eliseo

- Oliveira Junior, Osvaldo Novais de

- Soares, Juliana Coatrini
- USP affiliated authors: OLIVEIRA, MARIA CRISTINA FERREIRA DE - ICMC ; CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; CARRILHO, EMANUEL - IQSC ; BRUNO, ODEMIR MARTINEZ - IFSC ; OLIVEIRA JUNIOR, OSVALDO NOVAIS DE - IFSC ; SOARES, JULIANA COATRINI - IFSC ; BARIOTO, VALQUIRIA DA CRUZ RODRIGUES - IFSC ; OITICICA, PEDRO RAMON ALMEIDA - IFSC ; PEREIRA, PAULO AUGUSTO RAYMUNDO - IFSC ; BOTT NETO, JOSÉ LUIZ - IFSC ; BUSCAGLIA, LORENZO ANTONIO - IFSC ; CASTRO, LUCAS DANIEL CHIBA DE - IFSC ; RIBAS, LUCAS CORREIA - ICMC ; SCABINI, LEONARDO FELIPE DOS SANTOS - IFSC ; BRAZACA, LAIS CANNIATTI - IQSC
- Unidades: ICMC; IQSC; IFSC
- DOI: 10.1039/D1QM00665G
- Subjects: CORONAVIRUS; COVID-19; DIAGNÓSTICO; SENSOR; SEQUÊNCIA DO DNA; VISUALIZAÇÃO; APRENDIZADO COMPUTACIONAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Materials Chemistry Frontiers
- ISSN: 2052-1537
- Volume/Número/Paginação/Ano: v. 5, n. 15, p. 5658-5670, Aug. 2021
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SOARES, Juliana Coatrini et al. Detection of a SARS-CoV-2 sequence with genosensors using data analysis based on information visualization and machine learning techniques. Materials Chemistry Frontiers, v. 5, n. 15, p. 5658-5670, 2021Tradução . . Disponível em: https://doi.org/10.1039/D1QM00665G. Acesso em: 19 fev. 2026. -
APA
Soares, J. C., Soares, A. C., Rodrigues, V. da C., Oiticica, P. R. A., Raymundo-Pereira, P. A., Bott Neto, J. L., et al. (2021). Detection of a SARS-CoV-2 sequence with genosensors using data analysis based on information visualization and machine learning techniques. Materials Chemistry Frontiers, 5( 15), 5658-5670. doi:10.1039/D1QM00665G -
NLM
Soares JC, Soares AC, Rodrigues V da C, Oiticica PRA, Raymundo-Pereira PA, Bott Neto JL, Buscaglia LA, Castro LDC de, Ribas LC, Scabini LF dos S, Brazaca LC, Correa DS, Mattoso LHC, Oliveira MCF de, Carvalho ACP de LF de, Carrilho E, Bruno OM, Melendez ME, Oliveira Junior ON de. Detection of a SARS-CoV-2 sequence with genosensors using data analysis based on information visualization and machine learning techniques [Internet]. Materials Chemistry Frontiers. 2021 ; 5( 15): 5658-5670.[citado 2026 fev. 19 ] Available from: https://doi.org/10.1039/D1QM00665G -
Vancouver
Soares JC, Soares AC, Rodrigues V da C, Oiticica PRA, Raymundo-Pereira PA, Bott Neto JL, Buscaglia LA, Castro LDC de, Ribas LC, Scabini LF dos S, Brazaca LC, Correa DS, Mattoso LHC, Oliveira MCF de, Carvalho ACP de LF de, Carrilho E, Bruno OM, Melendez ME, Oliveira Junior ON de. Detection of a SARS-CoV-2 sequence with genosensors using data analysis based on information visualization and machine learning techniques [Internet]. Materials Chemistry Frontiers. 2021 ; 5( 15): 5658-5670.[citado 2026 fev. 19 ] Available from: https://doi.org/10.1039/D1QM00665G - Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors
- Electrochemical and optical detection and machine learning applied to images of genosensors for diagnosis of prostate cancer with the biomarker PCA3
- Using machine learning and optical microscopy image analysis of immunosensors made on plasmonic substrates: application to detect the SARS-CoV-2 virus
- Diagnosis made with integration of computer vision and machine learning to process biosensor images
- Plasmonic biosensors based on AUNI/glass substrates using optical microscopy and machine learning image classification as detection methods
- Identificação de espécies de madeira baseado em fusão de características em três planos anatômicos
- Deep topological embedding with convolutional neural networks for complex network classification
- A complex network approach for fish species recognition based on otolith shape
- Spatio-spectral networks for color-texture analysis
- Fusion of complex networks and randomized neural networks for texture analysis
Informações sobre o DOI: 10.1039/D1QM00665G (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| 3035796.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
