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GUZMAN, Grover Enrique Castro e STADLER, Peter F. e FUJITA, André. Cavity approach for the approximation of spectral density of graphs with heterogeneous structures. Physical Review E, v. 109, n. 3, p. 1, 2024Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.109.034303. Acesso em: 12 out. 2024.
APA
Guzman, G. E. C., Stadler, P. F., & Fujita, A. (2024). Cavity approach for the approximation of spectral density of graphs with heterogeneous structures. Physical Review E, 109( 3), 1. doi:10.1103/PhysRevE.109.034303
NLM
Guzman GEC, Stadler PF, Fujita A. Cavity approach for the approximation of spectral density of graphs with heterogeneous structures [Internet]. Physical Review E. 2024 ; 109( 3): 1.[citado 2024 out. 12 ] Available from: https://doi.org/10.1103/PhysRevE.109.034303
Vancouver
Guzman GEC, Stadler PF, Fujita A. Cavity approach for the approximation of spectral density of graphs with heterogeneous structures [Internet]. Physical Review E. 2024 ; 109( 3): 1.[citado 2024 out. 12 ] Available from: https://doi.org/10.1103/PhysRevE.109.034303
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NASPOLINI, Nathalia Ferrazzo et al. Lead contamination in human milk affects infants' language trajectory: results from a prospective cohort study. Frontiers in Public Health, v. 12, p. 1-6, 2024Tradução . . Disponível em: https://doi.org/10.3389/fpubh.2024.1450570. Acesso em: 12 out. 2024.
APA
Naspolini, N. F., Vanzele, P. A. R., Tótolo, P., Schüroff, P. A., Fatori, D., Vicentini Neto, S. A., et al. (2024). Lead contamination in human milk affects infants' language trajectory: results from a prospective cohort study. Frontiers in Public Health, 12, 1-6. doi:10.3389/fpubh.2024.1450570
NLM
Naspolini NF, Vanzele PAR, Tótolo P, Schüroff PA, Fatori D, Vicentini Neto SA, Barata-Silva C, Santos LMG dos, Fujita A, Passos-Bueno MR, Beltrão-Braga P, Campos AC de, Carvalho ACP de LF de, Polanczyk GV, Moreira JC, Taddei CR. Lead contamination in human milk affects infants' language trajectory: results from a prospective cohort study [Internet]. Frontiers in Public Health. 2024 ; 12 1-6.[citado 2024 out. 12 ] Available from: https://doi.org/10.3389/fpubh.2024.1450570
Vancouver
Naspolini NF, Vanzele PAR, Tótolo P, Schüroff PA, Fatori D, Vicentini Neto SA, Barata-Silva C, Santos LMG dos, Fujita A, Passos-Bueno MR, Beltrão-Braga P, Campos AC de, Carvalho ACP de LF de, Polanczyk GV, Moreira JC, Taddei CR. Lead contamination in human milk affects infants' language trajectory: results from a prospective cohort study [Internet]. Frontiers in Public Health. 2024 ; 12 1-6.[citado 2024 out. 12 ] Available from: https://doi.org/10.3389/fpubh.2024.1450570
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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: 12 out. 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 out. 12 ] 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 out. 12 ] Available from: https://doi.org/10.1002/cam4.5254
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BATALHA, Caio M. P. F e FUJITA, André e SOUZA-PINTO, Nadja Cristhina de. Combination of differential expression and co-expression network analyses identify novel conserved age-associated changes among different tissues. bioRxiv, 2023Tradução . . Disponível em: https://doi.org/10.1101/2023.05.26.542445. Acesso em: 12 out. 2024.
APA
Batalha, C. M. P. F., Fujita, A., & Souza-Pinto, N. C. de. (2023). Combination of differential expression and co-expression network analyses identify novel conserved age-associated changes among different tissues. bioRxiv. doi:10.1101/2023.05.26.542445
NLM
Batalha CMPF, Fujita A, Souza-Pinto NC de. Combination of differential expression and co-expression network analyses identify novel conserved age-associated changes among different tissues [Internet]. bioRxiv. 2023 ;[citado 2024 out. 12 ] Available from: https://doi.org/10.1101/2023.05.26.542445
Vancouver
Batalha CMPF, Fujita A, Souza-Pinto NC de. Combination of differential expression and co-expression network analyses identify novel conserved age-associated changes among different tissues [Internet]. bioRxiv. 2023 ;[citado 2024 out. 12 ] Available from: https://doi.org/10.1101/2023.05.26.542445
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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: 12 out. 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 out. 12 ] 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 out. 12 ] Available from: https://doi.org/10.1093/comnet/cnad005
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FARHAT, Luis C. et al. Networks of neurodevelopmental traits, socioenvironmental factors, emotional dysregulation in childhood, and depressive symptoms across development in two U.K. cohorts. American Journal of Psychiatry, v. 180, n. 10, p. 755-765, 2023Tradução . . Disponível em: https://doi.org/10.1176/appi.ajp.20220868. Acesso em: 12 out. 2024.
APA
Farhat, L. C., Blakey, R., Davey Smith, G., Fujita, A., Shephard, E., Stergiakouli, E., et al. (2023). Networks of neurodevelopmental traits, socioenvironmental factors, emotional dysregulation in childhood, and depressive symptoms across development in two U.K. cohorts. American Journal of Psychiatry, 180( 10), 755-765. doi:10.1176/appi.ajp.20220868
NLM
Farhat LC, Blakey R, Davey Smith G, Fujita A, Shephard E, Stergiakouli E, Eley TC, Thapar A, Polanczyk GV. Networks of neurodevelopmental traits, socioenvironmental factors, emotional dysregulation in childhood, and depressive symptoms across development in two U.K. cohorts [Internet]. American Journal of Psychiatry. 2023 ; 180( 10): 755-765.[citado 2024 out. 12 ] Available from: https://doi.org/10.1176/appi.ajp.20220868
Vancouver
Farhat LC, Blakey R, Davey Smith G, Fujita A, Shephard E, Stergiakouli E, Eley TC, Thapar A, Polanczyk GV. Networks of neurodevelopmental traits, socioenvironmental factors, emotional dysregulation in childhood, and depressive symptoms across development in two U.K. cohorts [Internet]. American Journal of Psychiatry. 2023 ; 180( 10): 755-765.[citado 2024 out. 12 ] Available from: https://doi.org/10.1176/appi.ajp.20220868
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OKU, Amanda Yumi Ambriola et al. Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms. Frontiers in Computational Neuroscience, v. 16, 2022Tradução . . Disponível em: https://doi.org/10.3389/fncom.2022.975743. Acesso em: 12 out. 2024.
APA
Oku, A. Y. A., Barreto, C., Bruneri, G., Brockington, G., Fujita, A., & Sato, J. R. (2022). Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms. Frontiers in Computational Neuroscience, 16. doi:10.3389/fncom.2022.975743
NLM
Oku AYA, Barreto C, Bruneri G, Brockington G, Fujita A, Sato JR. Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms [Internet]. Frontiers in Computational Neuroscience. 2022 ; 16[citado 2024 out. 12 ] Available from: https://doi.org/10.3389/fncom.2022.975743
Vancouver
Oku AYA, Barreto C, Bruneri G, Brockington G, Fujita A, Sato JR. Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms [Internet]. Frontiers in Computational Neuroscience. 2022 ; 16[citado 2024 out. 12 ] Available from: https://doi.org/10.3389/fncom.2022.975743
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GUZMAN, Grover Enrique Castro e TAKAHASHI, Daniel Yasumasa e FUJITA, André. A fast parameter estimator for large complex networks. Journal of Complex Networks, v. 10, n. artigo cnac022. p. 1-11, 2022Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnac022. Acesso em: 12 out. 2024.
APA
Guzman, G. E. C., Takahashi, D. Y., & Fujita, A. (2022). A fast parameter estimator for large complex networks. Journal of Complex Networks, 10( artigo cnac022. p. 1-11). doi:10.1093/comnet/cnac022
NLM
Guzman GEC, Takahashi DY, Fujita A. A fast parameter estimator for large complex networks [Internet]. Journal of Complex Networks. 2022 ; 10( artigo cnac022. p. 1-11):[citado 2024 out. 12 ] Available from: https://doi.org/10.1093/comnet/cnac022
Vancouver
Guzman GEC, Takahashi DY, Fujita A. A fast parameter estimator for large complex networks [Internet]. Journal of Complex Networks. 2022 ; 10( artigo cnac022. p. 1-11):[citado 2024 out. 12 ] Available from: https://doi.org/10.1093/comnet/cnac022
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GUZMAN, Grover Enrique Castro e STADLER, Peter F. e FUJITA, André. Efficient eigenvalue counts for tree-like networks. Journal of Complex Networks, v. 10, n. 5, 2022Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnac040. Acesso em: 12 out. 2024.
APA
Guzman, G. E. C., Stadler, P. F., & Fujita, A. (2022). Efficient eigenvalue counts for tree-like networks. Journal of Complex Networks, 10( 5). doi:10.1093/comnet/cnac040
NLM
Guzman GEC, Stadler PF, Fujita A. Efficient eigenvalue counts for tree-like networks [Internet]. Journal of Complex Networks. 2022 ; 10( 5):[citado 2024 out. 12 ] Available from: https://doi.org/10.1093/comnet/cnac040
Vancouver
Guzman GEC, Stadler PF, Fujita A. Efficient eigenvalue counts for tree-like networks [Internet]. Journal of Complex Networks. 2022 ; 10( 5):[citado 2024 out. 12 ] Available from: https://doi.org/10.1093/comnet/cnac040
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SANTOS, Suzana de Siqueira e FUJITA, André e MATIAS, Catherine. Spectral density of random graphs: convergence properties and application in model fitting. Journal of Complex Networks, v. 9, n. 6, p. 1-27, 2021Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnab041. Acesso em: 12 out. 2024.
APA
Santos, S. de S., Fujita, A., & Matias, C. (2021). Spectral density of random graphs: convergence properties and application in model fitting. Journal of Complex Networks, 9( 6), 1-27. doi:10.1093/comnet/cnab041
NLM
Santos S de S, Fujita A, Matias C. Spectral density of random graphs: convergence properties and application in model fitting [Internet]. Journal of Complex Networks. 2021 ; 9( 6): 1-27.[citado 2024 out. 12 ] Available from: https://doi.org/10.1093/comnet/cnab041
Vancouver
Santos S de S, Fujita A, Matias C. Spectral density of random graphs: convergence properties and application in model fitting [Internet]. Journal of Complex Networks. 2021 ; 9( 6): 1-27.[citado 2024 out. 12 ] Available from: https://doi.org/10.1093/comnet/cnab041
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FERNANDES, Pedro Augusto et al. Melatonin-Index as a biomarker for predicting the distribution of presymptomatic and asymptomatic SARS-CoV-2 carriers. Melatonin Research, v. 24, n. 1, p. 189-205, 2021Tradução . . Disponível em: https://doi.org/10.32794/mr11250090. Acesso em: 12 out. 2024.
APA
Fernandes, P. A., Kinker, G. S., Navarro, B. V., Carvalho, V. J., Paz, E. D. R., Córdoba-Moreno, M. O., et al. (2021). Melatonin-Index as a biomarker for predicting the distribution of presymptomatic and asymptomatic SARS-CoV-2 carriers. Melatonin Research, 24( 1), 189-205. doi:10.32794/mr11250090
NLM
Fernandes PA, Kinker GS, Navarro BV, Carvalho VJ, Paz EDR, Córdoba-Moreno MO, Santos-Silva D, Muxel SM, Fujita A, Moraes CB, Nakaya HTI, Buckeridge M, Markus RP. Melatonin-Index as a biomarker for predicting the distribution of presymptomatic and asymptomatic SARS-CoV-2 carriers [Internet]. Melatonin Research. 2021 ; 24( 1): 189-205.[citado 2024 out. 12 ] Available from: https://doi.org/10.32794/mr11250090
Vancouver
Fernandes PA, Kinker GS, Navarro BV, Carvalho VJ, Paz EDR, Córdoba-Moreno MO, Santos-Silva D, Muxel SM, Fujita A, Moraes CB, Nakaya HTI, Buckeridge M, Markus RP. Melatonin-Index as a biomarker for predicting the distribution of presymptomatic and asymptomatic SARS-CoV-2 carriers [Internet]. Melatonin Research. 2021 ; 24( 1): 189-205.[citado 2024 out. 12 ] Available from: https://doi.org/10.32794/mr11250090
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CUNHA, M et al. OA02.02 development of machine learning model to estimate overall survival in patients with advanced NSCLC and ECOG-PS > 1. Journal of Thoracic Oncology. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.jtho.2021.08.038. Acesso em: 12 out. 2024. , 2021
APA
Cunha, M., Borges, A. P., Carvalho, V. J., Fujita, A., & Castro, G. D. (2021). OA02.02 development of machine learning model to estimate overall survival in patients with advanced NSCLC and ECOG-PS > 1. Journal of Thoracic Oncology. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1016/j.jtho.2021.08.038
NLM
Cunha M, Borges AP, Carvalho VJ, Fujita A, Castro GD. OA02.02 development of machine learning model to estimate overall survival in patients with advanced NSCLC and ECOG-PS > 1 [Internet]. Journal of Thoracic Oncology. 2021 ; 16( 10): S850.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.jtho.2021.08.038
Vancouver
Cunha M, Borges AP, Carvalho VJ, Fujita A, Castro GD. OA02.02 development of machine learning model to estimate overall survival in patients with advanced NSCLC and ECOG-PS > 1 [Internet]. Journal of Thoracic Oncology. 2021 ; 16( 10): S850.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.jtho.2021.08.038
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OKU, Amanda Yumi Ambriola et al. Potential confounders in the analysis of Brazilian adolescent’s health: a combination of machine learning and graph theory. International Journal of Environmental Research and Public Health, v. 17, n. 1, p. 1-10, 2020Tradução . . Disponível em: https://doi.org/10.3390/ijerph17010090. Acesso em: 12 out. 2024.
APA
Oku, A. Y. A., Morais, G. A. Z., Bueno, A. P. A., Fujita, A., & Sato, J. R. (2020). Potential confounders in the analysis of Brazilian adolescent’s health: a combination of machine learning and graph theory. International Journal of Environmental Research and Public Health, 17( 1), 1-10. doi:10.3390/ijerph17010090
NLM
Oku AYA, Morais GAZ, Bueno APA, Fujita A, Sato JR. Potential confounders in the analysis of Brazilian adolescent’s health: a combination of machine learning and graph theory [Internet]. International Journal of Environmental Research and Public Health. 2020 ; 17( 1): 1-10.[citado 2024 out. 12 ] Available from: https://doi.org/10.3390/ijerph17010090
Vancouver
Oku AYA, Morais GAZ, Bueno APA, Fujita A, Sato JR. Potential confounders in the analysis of Brazilian adolescent’s health: a combination of machine learning and graph theory [Internet]. International Journal of Environmental Research and Public Health. 2020 ; 17( 1): 1-10.[citado 2024 out. 12 ] Available from: https://doi.org/10.3390/ijerph17010090
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WANG, Jaqueline Yu Ting et al. Noninvasive prenatal paternity determination using microhaplotypes: a pilot study. BMC Medical Genomics, v. 13, n. art. 157, p. 1-8, 2020Tradução . . Disponível em: https://doi.org/10.1186/s12920-020-00806-w. Acesso em: 12 out. 2024.
APA
Wang, J. Y. T., Whittle, M. R., Puga, R. D., Yambartsev, A., Fujita, A., & Nakaya, H. T. I. (2020). Noninvasive prenatal paternity determination using microhaplotypes: a pilot study. BMC Medical Genomics, 13( art. 157), 1-8. doi:10.1186/s12920-020-00806-w
NLM
Wang JYT, Whittle MR, Puga RD, Yambartsev A, Fujita A, Nakaya HTI. Noninvasive prenatal paternity determination using microhaplotypes: a pilot study [Internet]. BMC Medical Genomics. 2020 ; 13( art. 157): 1-8.[citado 2024 out. 12 ] Available from: https://doi.org/10.1186/s12920-020-00806-w
Vancouver
Wang JYT, Whittle MR, Puga RD, Yambartsev A, Fujita A, Nakaya HTI. Noninvasive prenatal paternity determination using microhaplotypes: a pilot study [Internet]. BMC Medical Genomics. 2020 ; 13( art. 157): 1-8.[citado 2024 out. 12 ] Available from: https://doi.org/10.1186/s12920-020-00806-w
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FUJITA, André et al. A semi-parametric statistical test to compare complex networks. Journal of Complex Networks, v. 8, n. 2, 2020Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnz028. Acesso em: 12 out. 2024.
APA
Fujita, A., Lira, E. S., Santos, S. de S., Bando, S. Y., Soares, G. E., & Takahashi, D. Y. (2020). A semi-parametric statistical test to compare complex networks. Journal of Complex Networks, 8( 2). doi:10.1093/comnet/cnz028
NLM
Fujita A, Lira ES, Santos S de S, Bando SY, Soares GE, Takahashi DY. A semi-parametric statistical test to compare complex networks [Internet]. Journal of Complex Networks. 2020 ; 8( 2):[citado 2024 out. 12 ] Available from: https://doi.org/10.1093/comnet/cnz028
Vancouver
Fujita A, Lira ES, Santos S de S, Bando SY, Soares GE, Takahashi DY. A semi-parametric statistical test to compare complex networks [Internet]. Journal of Complex Networks. 2020 ; 8( 2):[citado 2024 out. 12 ] Available from: https://doi.org/10.1093/comnet/cnz028
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CASTRO JUNIOR, Gilberto de et al. Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer. Annals of Oncology. Amsterdam: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.annonc.2020.08.1460. Acesso em: 12 out. 2024. , 2020
APA
Castro Junior, G. de, Neves, W. das, Borges, A. P. de S., Carvalho, V. J., Brum, P. C., & Fujita, A. (2020). Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer. Annals of Oncology. Amsterdam: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1016/j.annonc.2020.08.1460
NLM
Castro Junior G de, Neves W das, Borges AP de S, Carvalho VJ, Brum PC, Fujita A. Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer [Internet]. Annals of Oncology. 2020 ; 31( supl. 4): S1047.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.annonc.2020.08.1460
Vancouver
Castro Junior G de, Neves W das, Borges AP de S, Carvalho VJ, Brum PC, Fujita A. Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer [Internet]. Annals of Oncology. 2020 ; 31( supl. 4): S1047.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.annonc.2020.08.1460
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CASTRO GUZMAN, Grover Enrique et al. Network analysis of neuropsychiatry disorders. Precision medicine for investigators, practitioners and providers. Tradução . San Diego: Elsevier, 2020. . Disponível em: https://doi.org/10.1016/B978-0-12-819178-1.00039-3. Acesso em: 12 out. 2024.
APA
Castro Guzman, G. E., Balardin, J. B., Biazoli Junior, C. E., Sato, J. R., & Fujita, A. (2020). Network analysis of neuropsychiatry disorders. In Precision medicine for investigators, practitioners and providers. San Diego: Elsevier. doi:10.1016/B978-0-12-819178-1.00039-3
NLM
Castro Guzman GE, Balardin JB, Biazoli Junior CE, Sato JR, Fujita A. Network analysis of neuropsychiatry disorders [Internet]. In: Precision medicine for investigators, practitioners and providers. San Diego: Elsevier; 2020. [citado 2024 out. 12 ] Available from: https://doi.org/10.1016/B978-0-12-819178-1.00039-3
Vancouver
Castro Guzman GE, Balardin JB, Biazoli Junior CE, Sato JR, Fujita A. Network analysis of neuropsychiatry disorders [Internet]. In: Precision medicine for investigators, practitioners and providers. San Diego: Elsevier; 2020. [citado 2024 out. 12 ] Available from: https://doi.org/10.1016/B978-0-12-819178-1.00039-3
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PEREIRA, Túlio Felipe et al. Fluorescence-based method is more accurate than counting-based methods for plotting growth curves of adherent cells. BMC Research Notes, v. 13, n. 1, p. 1-7, 2020Tradução . . Disponível em: https://doi.org/10.1186/s13104-020-4914-8. Acesso em: 12 out. 2024.
APA
Pereira, T. F., Levin, G., DeOcesano-Pereira, C., Caodaglio, A. S., Fujita, A., Tonso, A., & Sogayar, M. C. (2020). Fluorescence-based method is more accurate than counting-based methods for plotting growth curves of adherent cells. BMC Research Notes, 13( 1), 1-7. doi:10.1186/s13104-020-4914-8
NLM
Pereira TF, Levin G, DeOcesano-Pereira C, Caodaglio AS, Fujita A, Tonso A, Sogayar MC. Fluorescence-based method is more accurate than counting-based methods for plotting growth curves of adherent cells [Internet]. BMC Research Notes. 2020 ;13( 1): 1-7.[citado 2024 out. 12 ] Available from: https://doi.org/10.1186/s13104-020-4914-8
Vancouver
Pereira TF, Levin G, DeOcesano-Pereira C, Caodaglio AS, Fujita A, Tonso A, Sogayar MC. Fluorescence-based method is more accurate than counting-based methods for plotting growth curves of adherent cells [Internet]. BMC Research Notes. 2020 ;13( 1): 1-7.[citado 2024 out. 12 ] Available from: https://doi.org/10.1186/s13104-020-4914-8
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MARTINS, Larissa Almeida et al. The intracellular bacterium Rickettsia rickettsii exerts an inhibitory effect on the apoptosis of tick cells. Parasites & Vectors, v. 13, p. 14 , 2020Tradução . . Disponível em: https://doi.org/10.1186/s13071-020-04477-5. Acesso em: 12 out. 2024.
APA
Martins, L. A., Palmisano, G., Cortez, M., Sakuma, R. K., Balanço, J. M. de F., Fujita, A., et al. (2020). The intracellular bacterium Rickettsia rickettsii exerts an inhibitory effect on the apoptosis of tick cells. Parasites & Vectors, 13, 14 . doi:10.1186/s13071-020-04477-5
NLM
Martins LA, Palmisano G, Cortez M, Sakuma RK, Balanço JM de F, Fujita A, Alonso BI, Battesti DMB, Braz GRC, Tirloni L, Esteves EV da S, Daffre S, Fogaça AC. The intracellular bacterium Rickettsia rickettsii exerts an inhibitory effect on the apoptosis of tick cells [Internet]. Parasites & Vectors. 2020 ; 13 14 .[citado 2024 out. 12 ] Available from: https://doi.org/10.1186/s13071-020-04477-5
Vancouver
Martins LA, Palmisano G, Cortez M, Sakuma RK, Balanço JM de F, Fujita A, Alonso BI, Battesti DMB, Braz GRC, Tirloni L, Esteves EV da S, Daffre S, Fogaça AC. The intracellular bacterium Rickettsia rickettsii exerts an inhibitory effect on the apoptosis of tick cells [Internet]. Parasites & Vectors. 2020 ; 13 14 .[citado 2024 out. 12 ] Available from: https://doi.org/10.1186/s13071-020-04477-5
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDRADE, Fernando et al. Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancer. Genetics and Molecular Biology, v. 43, n. 1, p. 1-11, 2020Tradução . . Disponível em: https://doi.org/10.1590/1678-4685-gmb-2018-0269. Acesso em: 12 out. 2024.
APA
Andrade, F., Nakata, A., Gotoh, N., & Fujita, A. (2020). Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancer. Genetics and Molecular Biology, 43( 1), 1-11. doi:10.1590/1678-4685-gmb-2018-0269
NLM
Andrade F, Nakata A, Gotoh N, Fujita A. Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancer [Internet]. Genetics and Molecular Biology. 2020 ; 43( 1): 1-11.[citado 2024 out. 12 ] Available from: https://doi.org/10.1590/1678-4685-gmb-2018-0269
Vancouver
Andrade F, Nakata A, Gotoh N, Fujita A. Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancer [Internet]. Genetics and Molecular Biology. 2020 ; 43( 1): 1-11.[citado 2024 out. 12 ] Available from: https://doi.org/10.1590/1678-4685-gmb-2018-0269