Artigo de periodico

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
• 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:
  • Financiamento CAPES
  • Financiamento FAPESP
  • Financiamento CNPq
• Language: Inglês
• Imprenta:
  • Publisher place: Cambridge
  • Date published: 2021
• Source:
  • Título: Materials Chemistry Frontiers
  • ISSN: 2052-1537
  • Volume/Número/Paginação/Ano: v. 5, n. 15, p. 5658-5670, Aug. 2021

Informações sobre o DOI: 10.1039/D1QM00665G (Fonte: oaDOI API)
• Este periódico é de assinatura
• Este artigo é de acesso aberto
• URL de acesso aberto
• Cor do Acesso Aberto: green
• Licença: cc-by

---

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

• 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: 04 ago. 2025.

• 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 2025 ago. 04 ] 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 2025 ago. 04 ] Available from: https://doi.org/10.1039/D1QM00665G

Últimas obras dos mesmos autores vinculados com a USP cadastradas na BDPI:

• 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
• Plasmonic biosensors based on AUNI/glass substrates using optical microscopy and machine learning image classification as detection methods
• Using machine learning and optical microscopy image analysis of immunosensors made on plasmonic substrates: application to detect the SARS-CoV-2 virus
• Identificação de espécies de madeira baseado em fusão de características em três planos anatômicos
• Spatio-spectral networks for color-texture analysis
• A complex network approach for fish species recognition based on otolith shape
• Detection of HPV16 in cell lines deriving from cervical and head and neck cancer using a genosensor made with a DNA probe on a layer-by-layer matrix
• Fusion of complex networks and randomized neural networks for texture analysis
• Deep topological embedding with convolutional neural networks for complex network classification