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Filtros : "Ramos, Pedro Luis" Limpar

Filtros

USP affiliated authors
- gonzález, pedro luis ramos (~1)
- louzada neto, francisco (~1)
- ramos, pedro luiz (~1)
Date published
- 2021 (~1)
- 2020 (~1)
Subjects
- anticorpos (1)
- análise de sobrevivência (1)
- distribuições (probabilidade) (1)
- dna recombinante (1)
- expressão gênica (1)

Artigo de periodico
The random deterioration rate model with measurement error based on the inverse Gaussian distribution (2021)
Morita, Lia Hanna Martins ; Tomazella, Vera Lucia Damasceno ; Ramos, Pedro Luis ; Ferreira, Paulo Henrique ; Louzada, Francisco
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, ANÁLISE DE SOBREVIVÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MORITA, Lia Hanna Martins et al. The random deterioration rate model with measurement error based on the inverse Gaussian distribution. Brazilian Journal of Probability and Statistics, v. 35, n. 1, p. 187-204, 2021Tradução . . Disponível em: https://doi.org/10.1214/20-BJPS468. Acesso em: 09 out. 2025.
APA
Morita, L. H. M., Tomazella, V. L. D., Ramos, P. L., Ferreira, P. H., & Louzada, F. (2021). The random deterioration rate model with measurement error based on the inverse Gaussian distribution. Brazilian Journal of Probability and Statistics, 35( 1), 187-204. doi:10.1214/20-BJPS468
NLM
Morita LHM, Tomazella VLD, Ramos PL, Ferreira PH, Louzada F. The random deterioration rate model with measurement error based on the inverse Gaussian distribution [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 187-204.[citado 2025 out. 09 ] Available from: https://doi.org/10.1214/20-BJPS468
Vancouver
Morita LHM, Tomazella VLD, Ramos PL, Ferreira PH, Louzada F. The random deterioration rate model with measurement error based on the inverse Gaussian distribution [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 187-204.[citado 2025 out. 09 ] Available from: https://doi.org/10.1214/20-BJPS468
Artigo de periodico
The M4 insulator, the TM2 matrix attachment region, and the double copy of the heavy chain gene contribute to the enhanced accumulation of the PHB-01 antibody in tobacco plants (2020)
Ruiz, Yoslaine; Ramos, Pedro Luis ; Soto, Jeny; Rodríguez, Meilyn; Carlos, Natacha; Reyes, Aneisi; Callard, Danay; Sánchez, Yadira; Pujol, Merardo; Fuentes, Alejandro
Source: Transgenic Research. Unidade: ESALQ
Subjects: ANTICORPOS, DNA RECOMBINANTE, EXPRESSÃO GÊNICA, FUMO, PLANTAS TRANSGÊNICAS, PROTEÍNAS DE PLANTAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RUIZ, Yoslaine et al. The M4 insulator, the TM2 matrix attachment region, and the double copy of the heavy chain gene contribute to the enhanced accumulation of the PHB-01 antibody in tobacco plants. Transgenic Research, v. 29, p. 171-186, 2020Tradução . . Disponível em: https://doi.org/10.1007/s11248-019-00187-6. Acesso em: 09 out. 2025.
APA
Ruiz, Y., Ramos, P. L., Soto, J., Rodríguez, M., Carlos, N., Reyes, A., et al. (2020). The M4 insulator, the TM2 matrix attachment region, and the double copy of the heavy chain gene contribute to the enhanced accumulation of the PHB-01 antibody in tobacco plants. Transgenic Research, 29, 171-186. doi:10.1007/s11248-019-00187-6
NLM
Ruiz Y, Ramos PL, Soto J, Rodríguez M, Carlos N, Reyes A, Callard D, Sánchez Y, Pujol M, Fuentes A. The M4 insulator, the TM2 matrix attachment region, and the double copy of the heavy chain gene contribute to the enhanced accumulation of the PHB-01 antibody in tobacco plants [Internet]. Transgenic Research. 2020 ; 29 171-186.[citado 2025 out. 09 ] Available from: https://doi.org/10.1007/s11248-019-00187-6
Vancouver
Ruiz Y, Ramos PL, Soto J, Rodríguez M, Carlos N, Reyes A, Callard D, Sánchez Y, Pujol M, Fuentes A. The M4 insulator, the TM2 matrix attachment region, and the double copy of the heavy chain gene contribute to the enhanced accumulation of the PHB-01 antibody in tobacco plants [Internet]. Transgenic Research. 2020 ; 29 171-186.[citado 2025 out. 09 ] Available from: https://doi.org/10.1007/s11248-019-00187-6

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