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GOMES, Jose Clelto Barros et al. Fast inference for robust nonlinear mixed-effects models. Journal of Applied Statistics, v. 50, p. 1568-1591, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2034141. Acesso em: 25 maio 2024.
APA
Gomes, J. C. B., Aoki, R., Lachos, V. H., Paula, G. A., & Russo, C. M. (2023). Fast inference for robust nonlinear mixed-effects models. Journal of Applied Statistics, 50, 1568-1591. doi:10.1080/02664763.2022.2034141
NLM
Gomes JCB, Aoki R, Lachos VH, Paula GA, Russo CM. Fast inference for robust nonlinear mixed-effects models [Internet]. Journal of Applied Statistics. 2023 ; 50 1568-1591.[citado 2024 maio 25 ] Available from: https://doi.org/10.1080/02664763.2022.2034141
Vancouver
Gomes JCB, Aoki R, Lachos VH, Paula GA, Russo CM. Fast inference for robust nonlinear mixed-effects models [Internet]. Journal of Applied Statistics. 2023 ; 50 1568-1591.[citado 2024 maio 25 ] Available from: https://doi.org/10.1080/02664763.2022.2034141
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CUNHA, Mateus Trinconi et al. Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study. Cancer Medicine, v. 12, n. 4, p. 5099-5109, 2023Tradução . . Disponível em: https://doi.org/10.1002/cam4.5254. Acesso em: 25 maio 2024.
APA
Cunha, M. T., Borges, A. P. de S., Carvalho, V. J., Fujita, A., & Castro Junior, G. de C. (2023). Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study. Cancer Medicine, 12( 4), 5099-5109. doi:10.1002/cam4.5254
NLM
Cunha MT, Borges AP de S, Carvalho VJ, Fujita A, Castro Junior G de C. Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study [Internet]. Cancer Medicine. 2023 ; 12( 4): 5099-5109.[citado 2024 maio 25 ] Available from: https://doi.org/10.1002/cam4.5254
Vancouver
Cunha MT, Borges AP de S, Carvalho VJ, Fujita A, Castro Junior G de C. Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study [Internet]. Cancer Medicine. 2023 ; 12( 4): 5099-5109.[citado 2024 maio 25 ] Available from: https://doi.org/10.1002/cam4.5254
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SARAIVA, Erlandson Ferreira e SAUER, Leandro e PEREIRA, Carlos Alberto de Bragança. A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19. Journal of Applied Statistics, v. 50, n. 10, p. 2194-2208, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2070136. Acesso em: 25 maio 2024.
APA
Saraiva, E. F., Sauer, L., & Pereira, C. A. de B. (2023). A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19. Journal of Applied Statistics, 50( 10), 2194-2208. doi:10.1080/02664763.2022.2070136
NLM
Saraiva EF, Sauer L, Pereira CA de B. A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19 [Internet]. Journal of Applied Statistics. 2023 ; 50( 10): 2194-2208.[citado 2024 maio 25 ] Available from: https://doi.org/10.1080/02664763.2022.2070136
Vancouver
Saraiva EF, Sauer L, Pereira CA de B. A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19 [Internet]. Journal of Applied Statistics. 2023 ; 50( 10): 2194-2208.[citado 2024 maio 25 ] Available from: https://doi.org/10.1080/02664763.2022.2070136
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RELVAS, Carlos E. M. et al. A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification. Journal of Bioinformatics and Computational Biology, v. 21, n. artigo 2350019, p. 1-26, 2023Tradução . . Disponível em: https://doi.org/10.1142/S0219720023500191. Acesso em: 25 maio 2024.
APA
Relvas, C. E. M., Nakata, A., Chen, G., Beer, D. G., Gotoh, N., & Fujita, A. (2023). A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification. Journal of Bioinformatics and Computational Biology, 21( artigo 2350019), 1-26. doi:10.1142/S0219720023500191
NLM
Relvas CEM, Nakata A, Chen G, Beer DG, Gotoh N, Fujita A. A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification [Internet]. Journal of Bioinformatics and Computational Biology. 2023 ; 21( artigo 2350019): 1-26.[citado 2024 maio 25 ] Available from: https://doi.org/10.1142/S0219720023500191
Vancouver
Relvas CEM, Nakata A, Chen G, Beer DG, Gotoh N, Fujita A. A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification [Internet]. Journal of Bioinformatics and Computational Biology. 2023 ; 21( artigo 2350019): 1-26.[citado 2024 maio 25 ] Available from: https://doi.org/10.1142/S0219720023500191
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NUNES, Pollyanna Vicente e TAL, Fábio Armando. Transitivity and the existence of horseshoes on the 2-torus. Nonlinearity, v. 36, n. 1, p. 199-230, 2023Tradução . . Disponível em: https://doi.org/10.1088/1361-6544/aca252. Acesso em: 25 maio 2024.
APA
Nunes, P. V., & Tal, F. A. (2023). Transitivity and the existence of horseshoes on the 2-torus. Nonlinearity, 36( 1), 199-230. doi:10.1088/1361-6544/aca252
NLM
Nunes PV, Tal FA. Transitivity and the existence of horseshoes on the 2-torus [Internet]. Nonlinearity. 2023 ; 36( 1): 199-230.[citado 2024 maio 25 ] Available from: https://doi.org/10.1088/1361-6544/aca252
Vancouver
Nunes PV, Tal FA. Transitivity and the existence of horseshoes on the 2-torus [Internet]. Nonlinearity. 2023 ; 36( 1): 199-230.[citado 2024 maio 25 ] Available from: https://doi.org/10.1088/1361-6544/aca252
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RODRIGUES, Natália Villa Nova e ABRAMO, L. Raul e HIRATA, Nina Sumiko Tomita. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. Machine Learning: Science and Technology, v. 4, n. artigo 045019, p. 1-26, 2023Tradução . . Disponível em: https://doi.org/10.1088/2632-2153/ad0285. Acesso em: 25 maio 2024.
APA
Rodrigues, N. V. N., Abramo, L. R., & Hirata, N. S. T. (2023). The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. Machine Learning: Science and Technology, 4( artigo 045019), 1-26. doi:10.1088/2632-2153/ad0285
NLM
Rodrigues NVN, Abramo LR, Hirata NST. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data [Internet]. Machine Learning: Science and Technology. 2023 ; 4( artigo 045019): 1-26.[citado 2024 maio 25 ] Available from: https://doi.org/10.1088/2632-2153/ad0285
Vancouver
Rodrigues NVN, Abramo LR, Hirata NST. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data [Internet]. Machine Learning: Science and Technology. 2023 ; 4( artigo 045019): 1-26.[citado 2024 maio 25 ] Available from: https://doi.org/10.1088/2632-2153/ad0285
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TOKUDA, Eric Keiji et al. Estimating the effects of urban green regions in terms of diffusion. Environment and Planning B: urban analytics and city science, v. 50, n. 4, p. 1023-1038, 2023Tradução . . Disponível em: https://doi.org/10.1177/23998083221131572. Acesso em: 25 maio 2024.
APA
Tokuda, E. K., Arruda, H. F. de, Domingues, G. S., Costa, L. da F., Shibata, F. A. S., Cesar Junior, R. M., & Comin, C. H. (2023). Estimating the effects of urban green regions in terms of diffusion. Environment and Planning B: urban analytics and city science, 50( 4), 1023-1038. doi:10.1177/23998083221131572
NLM
Tokuda EK, Arruda HF de, Domingues GS, Costa L da F, Shibata FAS, Cesar Junior RM, Comin CH. Estimating the effects of urban green regions in terms of diffusion [Internet]. Environment and Planning B: urban analytics and city science. 2023 ; 50( 4): 1023-1038.[citado 2024 maio 25 ] Available from: https://doi.org/10.1177/23998083221131572
Vancouver
Tokuda EK, Arruda HF de, Domingues GS, Costa L da F, Shibata FAS, Cesar Junior RM, Comin CH. Estimating the effects of urban green regions in terms of diffusion [Internet]. Environment and Planning B: urban analytics and city science. 2023 ; 50( 4): 1023-1038.[citado 2024 maio 25 ] Available from: https://doi.org/10.1177/23998083221131572
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SINGER, Júlio da Motta et al. Assessing socioeconomic bias of exposure to urban air pollution: an autopsy-based study in São Paulo, Brazil. The Lancet Regional Health - Americas, v. 22, n. artigo 100500, p. 1-10, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.lana.2023.100500. Acesso em: 25 maio 2024.
APA
Singer, J. da M., André, C. D. S. de, André, P. A. de, Rocha, F. M. M. da, Waked, D., Vaz, A. M., et al. (2023). Assessing socioeconomic bias of exposure to urban air pollution: an autopsy-based study in São Paulo, Brazil. The Lancet Regional Health - Americas, 22( artigo 100500), 1-10. doi:10.1016/j.lana.2023.100500
NLM
Singer J da M, André CDS de, André PA de, Rocha FMM da, Waked D, Vaz AM, Gois GF, Andrade M de F, Veras MM, Saldiva PHN, Barrozo LV. Assessing socioeconomic bias of exposure to urban air pollution: an autopsy-based study in São Paulo, Brazil [Internet]. The Lancet Regional Health - Americas. 2023 ; 22( artigo 100500): 1-10.[citado 2024 maio 25 ] Available from: https://doi.org/10.1016/j.lana.2023.100500
Vancouver
Singer J da M, André CDS de, André PA de, Rocha FMM da, Waked D, Vaz AM, Gois GF, Andrade M de F, Veras MM, Saldiva PHN, Barrozo LV. Assessing socioeconomic bias of exposure to urban air pollution: an autopsy-based study in São Paulo, Brazil [Internet]. The Lancet Regional Health - Americas. 2023 ; 22( artigo 100500): 1-10.[citado 2024 maio 25 ] Available from: https://doi.org/10.1016/j.lana.2023.100500
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FONTES, Luiz Renato e MACHADO, Fábio Prates e SCHINAZI, Rinaldo B. Null recurrence and transience for a binomial catastrophe model in random environment. Journal of Statistical Mechanics: Theory and Experiment, v. 2023, n. 31, 2023Tradução . . Disponível em: https://doi.org/10.1088/1742-5468/acbc23. Acesso em: 25 maio 2024.
APA
Fontes, L. R., Machado, F. P., & Schinazi, R. B. (2023). Null recurrence and transience for a binomial catastrophe model in random environment. Journal of Statistical Mechanics: Theory and Experiment, 2023( 31). doi:10.1088/1742-5468/acbc23
NLM
Fontes LR, Machado FP, Schinazi RB. Null recurrence and transience for a binomial catastrophe model in random environment [Internet]. Journal of Statistical Mechanics: Theory and Experiment. 2023 ; 2023( 31):[citado 2024 maio 25 ] Available from: https://doi.org/10.1088/1742-5468/acbc23
Vancouver
Fontes LR, Machado FP, Schinazi RB. Null recurrence and transience for a binomial catastrophe model in random environment [Internet]. Journal of Statistical Mechanics: Theory and Experiment. 2023 ; 2023( 31):[citado 2024 maio 25 ] Available from: https://doi.org/10.1088/1742-5468/acbc23
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BENATTI, Alexandre et al. Quantifying the hierarchical adherence of modular documents. Journal of Physics : Complexity, v. 4, n. 4, p. 045008-01-045008-18, 2023Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ad0a9b. Acesso em: 25 maio 2024.
APA
Benatti, A., Brito, A. C. M., Amancio, D. R., & Costa, L. da F. (2023). Quantifying the hierarchical adherence of modular documents. Journal of Physics : Complexity, 4( 4), 045008-01-045008-18. doi:10.1088/2632-072X/ad0a9b
NLM
Benatti A, Brito ACM, Amancio DR, Costa L da F. Quantifying the hierarchical adherence of modular documents [Internet]. Journal of Physics : Complexity. 2023 ; 4( 4): 045008-01-045008-18.[citado 2024 maio 25 ] Available from: https://doi.org/10.1088/2632-072X/ad0a9b
Vancouver
Benatti A, Brito ACM, Amancio DR, Costa L da F. Quantifying the hierarchical adherence of modular documents [Internet]. Journal of Physics : Complexity. 2023 ; 4( 4): 045008-01-045008-18.[citado 2024 maio 25 ] Available from: https://doi.org/10.1088/2632-072X/ad0a9b
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GUZMAN, Grover Enrique Castro e FUJITA, André. A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity. Journal of Complex Networks, v. 11, n. 2, p. 1-15, 2023Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnad005. Acesso em: 25 maio 2024.
APA
Guzman, G. E. C., & Fujita, A. (2023). A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity. Journal of Complex Networks, 11( 2), 1-15. doi:10.1093/comnet/cnad005
NLM
Guzman GEC, Fujita A. A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity [Internet]. Journal of Complex Networks. 2023 ; 11( 2): 1-15.[citado 2024 maio 25 ] Available from: https://doi.org/10.1093/comnet/cnad005
Vancouver
Guzman GEC, Fujita A. A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity [Internet]. Journal of Complex Networks. 2023 ; 11( 2): 1-15.[citado 2024 maio 25 ] Available from: https://doi.org/10.1093/comnet/cnad005
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AOKI, Reiko et al. Conformal normal curvature and detection of masked observations in multivariate null intercept measurement error models. Journal of Applied Statistics, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2023.2212332. Acesso em: 25 maio 2024.
APA
Aoki, R., Bustamante, J. P. M., Russo, C. M., & Paula, G. A. (2023). Conformal normal curvature and detection of masked observations in multivariate null intercept measurement error models. Journal of Applied Statistics. doi:10.1080/02664763.2023.2212332
NLM
Aoki R, Bustamante JPM, Russo CM, Paula GA. Conformal normal curvature and detection of masked observations in multivariate null intercept measurement error models [Internet]. Journal of Applied Statistics. 2023 ;[citado 2024 maio 25 ] Available from: https://doi.org/10.1080/02664763.2023.2212332
Vancouver
Aoki R, Bustamante JPM, Russo CM, Paula GA. Conformal normal curvature and detection of masked observations in multivariate null intercept measurement error models [Internet]. Journal of Applied Statistics. 2023 ;[citado 2024 maio 25 ] Available from: https://doi.org/10.1080/02664763.2023.2212332
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GARCIA, Guilherme Pereira Bento et al. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework. International Journal of Remote Sensing, n. , p. 2168-2195, 2023Tradução . . Disponível em: https://doi.org/10.1080/01431161.2023.2197130. Acesso em: 25 maio 2024.
APA
Garcia, G. P. B., Soares, L., Espadoto, M., & Grohmann, C. H. (2023). Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework. International Journal of Remote Sensing, ( ), 2168-2195. doi:10.1080/01431161.2023.2197130
NLM
Garcia GPB, Soares L, Espadoto M, Grohmann CH. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework [Internet]. International Journal of Remote Sensing. 2023 ;( ): 2168-2195.[citado 2024 maio 25 ] Available from: https://doi.org/10.1080/01431161.2023.2197130
Vancouver
Garcia GPB, Soares L, Espadoto M, Grohmann CH. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework [Internet]. International Journal of Remote Sensing. 2023 ;( ): 2168-2195.[citado 2024 maio 25 ] Available from: https://doi.org/10.1080/01431161.2023.2197130
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VARGAS JÚNIOR, Valdivino e MACHADO, Fábio Prates e ROLDÁN-CORREA, Alejandro. Extinction time in growth models subject to geometric catastrophes. Journal of Statistical Mechanics: Theory and Experiment, v. 2023, p. 043501-043519, 2023Tradução . . Disponível em: https://doi.org/10.1088/1742-5468/acc72e. Acesso em: 25 maio 2024.
APA
Vargas Júnior, V., Machado, F. P., & Roldán-Correa, A. (2023). Extinction time in growth models subject to geometric catastrophes. Journal of Statistical Mechanics: Theory and Experiment, 2023, 043501-043519. doi:10.1088/1742-5468/acc72e
NLM
Vargas Júnior V, Machado FP, Roldán-Correa A. Extinction time in growth models subject to geometric catastrophes [Internet]. Journal of Statistical Mechanics: Theory and Experiment. 2023 ; 2023 043501-043519.[citado 2024 maio 25 ] Available from: https://doi.org/10.1088/1742-5468/acc72e
Vancouver
Vargas Júnior V, Machado FP, Roldán-Correa A. Extinction time in growth models subject to geometric catastrophes [Internet]. Journal of Statistical Mechanics: Theory and Experiment. 2023 ; 2023 043501-043519.[citado 2024 maio 25 ] Available from: https://doi.org/10.1088/1742-5468/acc72e
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SALVATORE, Felipe de Souza et al. A resampling-based method to evaluate NLI models. Natural Language Engineering, 2023Tradução . . Disponível em: https://doi.org/10.1017/S1351324923000268. Acesso em: 25 maio 2024.
APA
Salvatore, F. de S., Finger, M., Hirata Júnior, R., & Patriota, A. G. (2023). A resampling-based method to evaluate NLI models. Natural Language Engineering. doi:10.1017/S1351324923000268
NLM
Salvatore F de S, Finger M, Hirata Júnior R, Patriota AG. A resampling-based method to evaluate NLI models [Internet]. Natural Language Engineering. 2023 ;[citado 2024 maio 25 ] Available from: https://doi.org/10.1017/S1351324923000268
Vancouver
Salvatore F de S, Finger M, Hirata Júnior R, Patriota AG. A resampling-based method to evaluate NLI models [Internet]. Natural Language Engineering. 2023 ;[citado 2024 maio 25 ] Available from: https://doi.org/10.1017/S1351324923000268
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SOUZA, Higor Amario de et al. Understanding the use of spectrum-based fault localization. Journal of Software: Evolution and Process, p. 01-26, 2023Tradução . . Disponível em: http://dx.doi.org/10.1002/smr.2622. Acesso em: 25 maio 2024.
APA
Souza, H. A. de, Lauretto, M. de S., Kon, F., & Chaim, M. L. (2023). Understanding the use of spectrum-based fault localization. Journal of Software: Evolution and Process, 01-26. doi:10.1002/smr.2622
NLM
Souza HA de, Lauretto M de S, Kon F, Chaim ML. Understanding the use of spectrum-based fault localization [Internet]. Journal of Software: Evolution and Process. 2023 ; 01-26.[citado 2024 maio 25 ] Available from: http://dx.doi.org/10.1002/smr.2622
Vancouver
Souza HA de, Lauretto M de S, Kon F, Chaim ML. Understanding the use of spectrum-based fault localization [Internet]. Journal of Software: Evolution and Process. 2023 ; 01-26.[citado 2024 maio 25 ] Available from: http://dx.doi.org/10.1002/smr.2622
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DUQUE, F et al. Extinction time in growth models subject to binomial catastrophes. Journal of Statistical Mechanics: Theory and Experiment, v. 2023, n. artigo 103501, p. 1-14, 2023Tradução . . Disponível em: https://doi.org/10.1088/1742-5468/acf8bc. Acesso em: 25 maio 2024.
APA
Duque, F., Vargas Junior, V., Machado, F. P., & Roldán-Correa, A. (2023). Extinction time in growth models subject to binomial catastrophes. Journal of Statistical Mechanics: Theory and Experiment, 2023( artigo 103501), 1-14. doi:10.1088/1742-5468/acf8bc
NLM
Duque F, Vargas Junior V, Machado FP, Roldán-Correa A. Extinction time in growth models subject to binomial catastrophes [Internet]. Journal of Statistical Mechanics: Theory and Experiment. 2023 ; 2023( artigo 103501): 1-14.[citado 2024 maio 25 ] Available from: https://doi.org/10.1088/1742-5468/acf8bc
Vancouver
Duque F, Vargas Junior V, Machado FP, Roldán-Correa A. Extinction time in growth models subject to binomial catastrophes [Internet]. Journal of Statistical Mechanics: Theory and Experiment. 2023 ; 2023( artigo 103501): 1-14.[citado 2024 maio 25 ] Available from: https://doi.org/10.1088/1742-5468/acf8bc
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BANDO, Silvia Yumi et al. Transcriptomic analysis reveals distinct adaptive molecular mechanism in the hippocampal CA3 from rats susceptible or not-susceptible to hyperthermia-induced seizures. Scientific Reports, v. 13, n. artigo 10265, p. 1-18, 2023Tradução . . Disponível em: https://doi.org/10.1038/s41598-023-37535-w. Acesso em: 25 maio 2024.
APA
Bando, S. Y., Bertonha, F. B., Menezes, P. H. N., Takahara, A. K., Khaled, N. A., Santos, P., et al. (2023). Transcriptomic analysis reveals distinct adaptive molecular mechanism in the hippocampal CA3 from rats susceptible or not-susceptible to hyperthermia-induced seizures. Scientific Reports, 13( artigo 10265), 1-18. doi:10.1038/s41598-023-37535-w
NLM
Bando SY, Bertonha FB, Menezes PHN, Takahara AK, Khaled NA, Santos P, Junqueira MS, César Júnior RM, Moreira-Filho CA. Transcriptomic analysis reveals distinct adaptive molecular mechanism in the hippocampal CA3 from rats susceptible or not-susceptible to hyperthermia-induced seizures [Internet]. Scientific Reports. 2023 ; 13( artigo 10265): 1-18.[citado 2024 maio 25 ] Available from: https://doi.org/10.1038/s41598-023-37535-w
Vancouver
Bando SY, Bertonha FB, Menezes PHN, Takahara AK, Khaled NA, Santos P, Junqueira MS, César Júnior RM, Moreira-Filho CA. Transcriptomic analysis reveals distinct adaptive molecular mechanism in the hippocampal CA3 from rats susceptible or not-susceptible to hyperthermia-induced seizures [Internet]. Scientific Reports. 2023 ; 13( artigo 10265): 1-18.[citado 2024 maio 25 ] Available from: https://doi.org/10.1038/s41598-023-37535-w
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PRATES, Lucas de Oliveira et al. Population-based change-point detection for the identification of homozygosity islands. Bioinformatics, v. 39, n. 4, p. 1-8, 2023Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/btad170. Acesso em: 25 maio 2024.
APA
Prates, L. de O., Lemes, R. B., Hünemeier, T., & Leonardi, F. G. (2023). Population-based change-point detection for the identification of homozygosity islands. Bioinformatics, 39( 4), 1-8. doi:10.1093/bioinformatics/btad170
NLM
Prates L de O, Lemes RB, Hünemeier T, Leonardi FG. Population-based change-point detection for the identification of homozygosity islands [Internet]. Bioinformatics. 2023 ; 39( 4): 1-8.[citado 2024 maio 25 ] Available from: https://doi.org/10.1093/bioinformatics/btad170
Vancouver
Prates L de O, Lemes RB, Hünemeier T, Leonardi FG. Population-based change-point detection for the identification of homozygosity islands [Internet]. Bioinformatics. 2023 ; 39( 4): 1-8.[citado 2024 maio 25 ] Available from: https://doi.org/10.1093/bioinformatics/btad170
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BANDO, Silvia Yumi et al. Blood leukocyte transcriptional modules and differentially expressed genes associated with disease severity and age in COVID-19 patients. Scientifc Reports, v. 13, p. 1-17, 2023Tradução . . Disponível em: https://doi.org/10.1038/s41598-023-28227-6. Acesso em: 25 maio 2024.
APA
Bando, S. Y., Bertonha, F. B., Vieira, S. E., Durigon, D. B. L. de O., Chalup, V. N., Palmeira, P., et al. (2023). Blood leukocyte transcriptional modules and differentially expressed genes associated with disease severity and age in COVID-19 patients. Scientifc Reports, 13, 1-17. doi:10.1038/s41598-023-28227-6
NLM
Bando SY, Bertonha FB, Vieira SE, Durigon DBL de O, Chalup VN, Palmeira P, Curi ACPC, Faria CS, Lauterbach GP, Regalio FA, Durigon EL, Jorge PPD, Antonangelo L, Cesar Junior RM, Moreira Filho CA. Blood leukocyte transcriptional modules and differentially expressed genes associated with disease severity and age in COVID-19 patients [Internet]. Scientifc Reports. 2023 ; 13 1-17.[citado 2024 maio 25 ] Available from: https://doi.org/10.1038/s41598-023-28227-6
Vancouver
Bando SY, Bertonha FB, Vieira SE, Durigon DBL de O, Chalup VN, Palmeira P, Curi ACPC, Faria CS, Lauterbach GP, Regalio FA, Durigon EL, Jorge PPD, Antonangelo L, Cesar Junior RM, Moreira Filho CA. Blood leukocyte transcriptional modules and differentially expressed genes associated with disease severity and age in COVID-19 patients [Internet]. Scientifc Reports. 2023 ; 13 1-17.[citado 2024 maio 25 ] Available from: https://doi.org/10.1038/s41598-023-28227-6