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Artigo de periodico
Identifying key genes in cancer networks using persistent homology (2025)
Ramos, Rodrigo Henrique ; Bardelotte, Yago Augusto; Ferreira, Cynthia de Oliveira Lage ; Simão, Adenilso da Silva
Source: Scientific Reports. Unidade: ICMC
Subjects: GENÔMICA, NEOPLASIAS, ANÁLISE DE DADOS, PROTEÍNAS
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ABNT
RAMOS, Rodrigo Henrique et al. Identifying key genes in cancer networks using persistent homology. Scientific Reports, v. 15, p. 1-13, 2025Tradução . . Disponível em: https://doi.org/10.1038/s41598-025-87265-4. Acesso em: 08 out. 2025.
APA
Ramos, R. H., Bardelotte, Y. A., Ferreira, C. de O. L., & Simão, A. da S. (2025). Identifying key genes in cancer networks using persistent homology. Scientific Reports, 15, 1-13. doi:10.1038/s41598-025-87265-4
NLM
Ramos RH, Bardelotte YA, Ferreira C de OL, Simão A da S. Identifying key genes in cancer networks using persistent homology [Internet]. Scientific Reports. 2025 ; 15 1-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1038/s41598-025-87265-4
Vancouver
Ramos RH, Bardelotte YA, Ferreira C de OL, Simão A da S. Identifying key genes in cancer networks using persistent homology [Internet]. Scientific Reports. 2025 ; 15 1-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1038/s41598-025-87265-4
Trabalho de evento-anais periodico
Causal model discovery in cancer guided by cellular pathways (2024)
Ramos, Rodrigo Henrique ; Simão, Adenilso da Silva ; Mousavi, Mohammad Reza
Source: Lecture Notes in Bioinformatics - LNBI. Conference titles: International Conference Computational Methods in Systems Biology - CMSB. Unidade: ICMC
Subjects: CAUSALIDADE, GENÔMICA, NEOPLASIAS, ESTRUTURA CELULAR
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ABNT
RAMOS, Rodrigo Henrique e SIMÃO, Adenilso da Silva e MOUSAVI, Mohammad Reza. Causal model discovery in cancer guided by cellular pathways. Lecture Notes in Bioinformatics - LNBI. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-71671-3_13. Acesso em: 08 out. 2025. , 2024
APA
Ramos, R. H., Simão, A. da S., & Mousavi, M. R. (2024). Causal model discovery in cancer guided by cellular pathways. Lecture Notes in Bioinformatics - LNBI. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1007/978-3-031-71671-3_13
NLM
Ramos RH, Simão A da S, Mousavi MR. Causal model discovery in cancer guided by cellular pathways [Internet]. Lecture Notes in Bioinformatics - LNBI. 2024 ; 14971 174-195.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/978-3-031-71671-3_13
Vancouver
Ramos RH, Simão A da S, Mousavi MR. Causal model discovery in cancer guided by cellular pathways [Internet]. Lecture Notes in Bioinformatics - LNBI. 2024 ; 14971 174-195.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/978-3-031-71671-3_13
Artigo de periodico
Interaction between crowding and growth in tumours with stem cells: conceptual mathematical modelling (2023)
Meacci, Luca ; Primicerio, Mario
Source: Mathematical Modelling of Natural Phenomena. Unidade: ICMC
Subjects: MODELOS MATEMÁTICOS, EQUAÇÕES DIFERENCIAIS PARCIAIS, EQUAÇÕES DIFERENCIAIS ORDINÁRIAS, CÉLULAS-TRONCO, NEOPLASIAS
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ABNT
MEACCI, Luca e PRIMICERIO, Mario. Interaction between crowding and growth in tumours with stem cells: conceptual mathematical modelling. Mathematical Modelling of Natural Phenomena, v. 18, p. 1-22, 2023Tradução . . Disponível em: https://doi.org/10.1051/mmnp/2023011. Acesso em: 08 out. 2025.
APA
Meacci, L., & Primicerio, M. (2023). Interaction between crowding and growth in tumours with stem cells: conceptual mathematical modelling. Mathematical Modelling of Natural Phenomena, 18, 1-22. doi:10.1051/mmnp/2023011
NLM
Meacci L, Primicerio M. Interaction between crowding and growth in tumours with stem cells: conceptual mathematical modelling [Internet]. Mathematical Modelling of Natural Phenomena. 2023 ; 18 1-22.[citado 2025 out. 08 ] Available from: https://doi.org/10.1051/mmnp/2023011
Vancouver
Meacci L, Primicerio M. Interaction between crowding and growth in tumours with stem cells: conceptual mathematical modelling [Internet]. Mathematical Modelling of Natural Phenomena. 2023 ; 18 1-22.[citado 2025 out. 08 ] Available from: https://doi.org/10.1051/mmnp/2023011
Artigo de periodico
Low-cost bacterial nanocellulose-based interdigitated biosensor to detect the p53 cancer biomarker (2022)
Bondancia, Thalita Jessika ; Soares, Andrey Coatrini ; Popolin Neto, Mário ; Gomes, Nathalia Oezau ; Raymundo-Pereira, Paulo Augusto ; Barud, Hernane da Silva ; Machado, Sergio Antonio Spinola ; Ribeiro, Sidney J L ; Melendez, Matias Eliseo ; Carvalho, André L. ; Reis, Rui Manuel ; Paulovich, Fernando Vieira ; Oliveira Junior, Osvaldo Novais de
Source: Biomaterials Advances. Unidades: IQSC, IFSC, ICMC
Subjects: BIOMATERIAIS, NEOPLASIAS, BIOMARCADORES, SENSORES BIOMÉDICOS
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ABNT
BONDANCIA, Thalita Jessika et al. Low-cost bacterial nanocellulose-based interdigitated biosensor to detect the p53 cancer biomarker. Biomaterials Advances, v. 134, p. 112676-1-112676-7, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.msec.2022.112676. Acesso em: 08 out. 2025.
APA
Bondancia, T. J., Soares, A. C., Popolin Neto, M., Gomes, N. O., Raymundo-Pereira, P. A., Barud, H. da S., et al. (2022). Low-cost bacterial nanocellulose-based interdigitated biosensor to detect the p53 cancer biomarker. Biomaterials Advances, 134, 112676-1-112676-7. doi:10.1016/j.msec.2022.112676
NLM
Bondancia TJ, Soares AC, Popolin Neto M, Gomes NO, Raymundo-Pereira PA, Barud H da S, Machado SAS, Ribeiro SJL, Melendez ME, Carvalho AL, Reis RM, Paulovich FV, Oliveira Junior ON de. Low-cost bacterial nanocellulose-based interdigitated biosensor to detect the p53 cancer biomarker [Internet]. Biomaterials Advances. 2022 ; 134 112676-1-112676-7.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.msec.2022.112676
Vancouver
Bondancia TJ, Soares AC, Popolin Neto M, Gomes NO, Raymundo-Pereira PA, Barud H da S, Machado SAS, Ribeiro SJL, Melendez ME, Carvalho AL, Reis RM, Paulovich FV, Oliveira Junior ON de. Low-cost bacterial nanocellulose-based interdigitated biosensor to detect the p53 cancer biomarker [Internet]. Biomaterials Advances. 2022 ; 134 112676-1-112676-7.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.msec.2022.112676
Artigo de periodico
A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database (2022)
Souza, Hayala Cristina Cavenague de; Louzada, Francisco ; Ramos, Pedro Luiz; Oliveira Júnior, Mauro Ribeiro de; Perdoná, Gleici da Silva Castro
Source: Journal of Applied Statistics. Unidades: ICMC, FMRP
Subjects: ANÁLISE DE SOBREVIVÊNCIA, INFLAÇÃO, CURA, NEOPLASIAS
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ABNT
SOUZA, Hayala Cristina Cavenague de et al. A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database. Journal of Applied Statistics, v. 49, n. 12, p. 3178–3194, 2022Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1933923. Acesso em: 08 out. 2025.
APA
Souza, H. C. C. de, Louzada, F., Ramos, P. L., Oliveira Júnior, M. R. de, & Perdoná, G. da S. C. (2022). A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database. Journal of Applied Statistics, 49( 12), 3178–3194. doi:10.1080/02664763.2021.1933923
NLM
Souza HCC de, Louzada F, Ramos PL, Oliveira Júnior MR de, Perdoná G da SC. A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database [Internet]. Journal of Applied Statistics. 2022 ; 49( 12): 3178–3194.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/02664763.2021.1933923
Vancouver
Souza HCC de, Louzada F, Ramos PL, Oliveira Júnior MR de, Perdoná G da SC. A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database [Internet]. Journal of Applied Statistics. 2022 ; 49( 12): 3178–3194.[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/02664763.2021.1933923
Artigo de periodico
Growth of tumours with stem cells: the effect of crowding and ageing of cells (2021)
Meacci, Luca ; Primicerio, Mario ; Buscaglia, Gustavo Carlos
Source: Physica A. Unidade: ICMC
Subjects: CÉLULAS-TRONCO, NEOPLASIAS, MODELOS MATEMÁTICOS, AUTÔMATOS CELULARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MEACCI, Luca e PRIMICERIO, Mario e BUSCAGLIA, Gustavo Carlos. Growth of tumours with stem cells: the effect of crowding and ageing of cells. Physica A, v. 570, p. 1-12, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2021.125841. Acesso em: 08 out. 2025.
APA
Meacci, L., Primicerio, M., & Buscaglia, G. C. (2021). Growth of tumours with stem cells: the effect of crowding and ageing of cells. Physica A, 570, 1-12. doi:10.1016/j.physa.2021.125841
NLM
Meacci L, Primicerio M, Buscaglia GC. Growth of tumours with stem cells: the effect of crowding and ageing of cells [Internet]. Physica A. 2021 ; 570 1-12.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.physa.2021.125841
Vancouver
Meacci L, Primicerio M, Buscaglia GC. Growth of tumours with stem cells: the effect of crowding and ageing of cells [Internet]. Physica A. 2021 ; 570 1-12.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.physa.2021.125841

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