ReP USP - Resultado da busca

Artigo de periodico
Detection of a SARS-CoV-2 sequence with genosensors using data analysis based on information visualization and machine learning techniques (2021)
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
Source: Materials Chemistry Frontiers. Unidades: ICMC, IQSC, IFSC
Subjects: CORONAVIRUS, COVID-19, DIAGNÓSTICO, SENSOR, SEQUÊNCIA DO DNA, VISUALIZAÇÃO, APRENDIZADO COMPUTACIONAL
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 nov. 2024.
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 2024 nov. 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 2024 nov. 04 ] Available from: https://doi.org/10.1039/D1QM00665G
Artigo de periodico
Influence of the molecular orientation and ionization of self- assembled monolayers in biosensors: application to genosensors of prostate cancer antigen 3 (2021)
Raymundo-Pereira, Paulo A. ; Pedro, Rafael de Oliveira ; Carr, Olivia; Melendez, Matias Eliseo ; Gobbi, Ângelo L.; Piazzetta, Maria Helena de Oliveira; Carvalho, André L. ; Reis, Rui Manuel; Miranda, Paulo Barbeitas ; Oliveira Junior, Osvaldo Novais de ; Mejía-Salazar, J. R.
Source: Journal of Physical Chemistry C. Unidade: IFSC
Subjects: INTELIGÊNCIA ARTIFICIAL, NEOPLASIAS PROSTÁTICAS, BIOMARCADORES, DIAGNÓSTICO, SENSOR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAYMUNDO-PEREIRA, Paulo A. et al. Influence of the molecular orientation and ionization of self- assembled monolayers in biosensors: application to genosensors of prostate cancer antigen 3. Journal of Physical Chemistry C, v. 125, n. Ja 2021, p. 498-506, 2021Tradução . . Disponível em: https://doi.org/10.1021/acs.jpcc.0c09055. Acesso em: 04 nov. 2024.
APA
Raymundo-Pereira, P. A., Pedro, R. de O., Carr, O., Melendez, M. E., Gobbi, Â. L., Piazzetta, M. H. de O., et al. (2021). Influence of the molecular orientation and ionization of self- assembled monolayers in biosensors: application to genosensors of prostate cancer antigen 3. Journal of Physical Chemistry C, 125( Ja 2021), 498-506. doi:10.1021/acs.jpcc.0c09055
NLM
Raymundo-Pereira PA, Pedro R de O, Carr O, Melendez ME, Gobbi ÂL, Piazzetta MH de O, Carvalho AL, Reis RM, Miranda PB, Oliveira Junior ON de, Mejía-Salazar JR. Influence of the molecular orientation and ionization of self- assembled monolayers in biosensors: application to genosensors of prostate cancer antigen 3 [Internet]. Journal of Physical Chemistry C. 2021 ; 125( Ja 2021): 498-506.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1021/acs.jpcc.0c09055
Vancouver
Raymundo-Pereira PA, Pedro R de O, Carr O, Melendez ME, Gobbi ÂL, Piazzetta MH de O, Carvalho AL, Reis RM, Miranda PB, Oliveira Junior ON de, Mejía-Salazar JR. Influence of the molecular orientation and ionization of self- assembled monolayers in biosensors: application to genosensors of prostate cancer antigen 3 [Internet]. Journal of Physical Chemistry C. 2021 ; 125( Ja 2021): 498-506.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1021/acs.jpcc.0c09055
Artigo de periodico
On the Challenges for the diagnosis of SARS-CoV2 based on a review of current methodologies (2020)
Mattioli, Isabela A. ; Hassan, Ayaz ; Oliveira Junior, Osvaldo Novais de ; Crespilho, Frank Nelson
Source: ACS Sensors. Unidades: IFSC, IQSC
Subjects: COVID-19, DIAGNÓSTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATTIOLI, Isabela A. et al. On the Challenges for the diagnosis of SARS-CoV2 based on a review of current methodologies. ACS Sensors, v. 5, n. 12, p. 3655-3677, 2020Tradução . . Disponível em: https://doi.org/10.1021/acssensors.0c01382. Acesso em: 04 nov. 2024.
APA
Mattioli, I. A., Hassan, A., Oliveira Junior, O. N. de, & Crespilho, F. N. (2020). On the Challenges for the diagnosis of SARS-CoV2 based on a review of current methodologies. ACS Sensors, 5( 12), 3655-3677. doi:10.1021/acssensors.0c01382
NLM
Mattioli IA, Hassan A, Oliveira Junior ON de, Crespilho FN. On the Challenges for the diagnosis of SARS-CoV2 based on a review of current methodologies [Internet]. ACS Sensors. 2020 ; 5( 12): 3655-3677.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1021/acssensors.0c01382
Vancouver
Mattioli IA, Hassan A, Oliveira Junior ON de, Crespilho FN. On the Challenges for the diagnosis of SARS-CoV2 based on a review of current methodologies [Internet]. ACS Sensors. 2020 ; 5( 12): 3655-3677.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1021/acssensors.0c01382

USP Schools

ReP

Filtros

Authors

USP affiliated authors

Subjects

Funding Agencies

Non normalized affiliation