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Artigo de periodico
Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study (2023)
Cunha, Mateus Trinconi ; Borges, Ana Paula de Souza ; Carvalho, Vinicius Jardim ; Fujita, André ; Castro Junior, Gilberto de Castro
Source: Cancer Medicine. Unidades: IME, FM, BIOINFORMÁTICA
Subjects: APRENDIZADO COMPUTACIONAL, NEOPLASIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 04 nov. 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 nov. 04 ] 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 nov. 04 ] Available from: https://doi.org/10.1002/cam4.5254
Trabalho de evento-anais periodico
OA02.02 development of machine learning model to estimate overall survival in patients with advanced NSCLC and ECOG-PS > 1 (2021)
Cunha, M; Borges, A. P; Carvalho, Vinicius Jardim ; Fujita, André ; Castro, G. D
Source: Journal of Thoracic Oncology. Conference titles: World Conference on Lung Cancer Worldwide. Unidades: IME, BIOINFORMÁTICA
Subjects: INTELIGÊNCIA ARTIFICIAL, CUIDADOS PALIATIVOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 04 nov. 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 nov. 04 ] 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 nov. 04 ] Available from: https://doi.org/10.1016/j.jtho.2021.08.038
Trabalho de evento-resumo periodico
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 (2020)
Castro Junior, Gilberto de ; Neves, Willan das ; Borges, Ana Paula de Souza ; Carvalho, Vinicius Jardim ; Brum, Patrícia Chakur ; Fujita, André
Source: Annals of Oncology. Conference titles: European Society for Medical Oncology Congress - ESMO. Unidades: IME, EEFE, FM, BIOINFORMÁTICA
Assunto: BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 04 nov. 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 nov. 04 ] 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 nov. 04 ] Available from: https://doi.org/10.1016/j.annonc.2020.08.1460
Parte de monografia/livro
Computational tools for comparing gene coexpression networks (2020)
Carvalho, Vinicius Jardim ; Moreno, Camila Castro; Fujita, André
Source: Networks in systems biology : applications for disease modeling. Unidades: IME, BIOINFORMÁTICA
Assunto: BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARVALHO, Vinicius Jardim e MORENO, Camila Castro e FUJITA, André. Computational tools for comparing gene coexpression networks. Networks in systems biology : applications for disease modeling. Tradução . Cham: Springer, 2020. . Disponível em: https://doi.org/10.1007/978-3-030-51862-2_2. Acesso em: 04 nov. 2024.
APA
Carvalho, V. J., Moreno, C. C., & Fujita, A. (2020). Computational tools for comparing gene coexpression networks. In Networks in systems biology : applications for disease modeling. Cham: Springer. doi:10.1007/978-3-030-51862-2_2
NLM
Carvalho VJ, Moreno CC, Fujita A. Computational tools for comparing gene coexpression networks [Internet]. In: Networks in systems biology : applications for disease modeling. Cham: Springer; 2020. [citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/978-3-030-51862-2_2
Vancouver
Carvalho VJ, Moreno CC, Fujita A. Computational tools for comparing gene coexpression networks [Internet]. In: Networks in systems biology : applications for disease modeling. Cham: Springer; 2020. [citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/978-3-030-51862-2_2
Artigo de periodico
Deletion and low expression of NFKBIA are associated with poor prognosis in lower-grade glioma patients (2016)
Kinker, Gabriela Sarti ; Thomas, Andrew Maltez ; Carvalho, Vinicius Jardim; Lima, Felipe Prata; Fujita, André
Source: Scientific Reports. Unidades: IME, BIOINFORMÁTICA
Subjects: BIOINFORMÁTICA, GLIOMA, NEOPLASIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
KINKER, Gabriela Sarti et al. Deletion and low expression of NFKBIA are associated with poor prognosis in lower-grade glioma patients. Scientific Reports, v. 6, n. article 24160, p. 1-9, 2016Tradução . . Disponível em: https://doi.org/10.1038/srep24160. Acesso em: 04 nov. 2024.
APA
Kinker, G. S., Thomas, A. M., Carvalho, V. J., Lima, F. P., & Fujita, A. (2016). Deletion and low expression of NFKBIA are associated with poor prognosis in lower-grade glioma patients. Scientific Reports, 6( article 24160), 1-9. doi:10.1038/srep24160
NLM
Kinker GS, Thomas AM, Carvalho VJ, Lima FP, Fujita A. Deletion and low expression of NFKBIA are associated with poor prognosis in lower-grade glioma patients [Internet]. Scientific Reports. 2016 ; 6( article 24160): 1-9.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1038/srep24160
Vancouver
Kinker GS, Thomas AM, Carvalho VJ, Lima FP, Fujita A. Deletion and low expression of NFKBIA are associated with poor prognosis in lower-grade glioma patients [Internet]. Scientific Reports. 2016 ; 6( article 24160): 1-9.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1038/srep24160

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