ReP USP - Resultado da busca

Trabalho de evento
Spectrum-based statistical methods for directed graphs with applications in biological data (2023)
Villela, Victor Chavauty; Lira, Eduardo Silva; Fujita, André
Nome do evento: Brazilian Symposium on Bioinformatics - BSB. Unidades: IME, BIOINFORMÁTICA
Assuntos: BIOINFORMÁTICA, REDES COMPLEXAS
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ABNT
VILLELA, Victor Chavauty e LIRA, Eduardo Silva e FUJITA, André. Spectrum-based statistical methods for directed graphs with applications in biological data. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-42715-2_5. Acesso em: 30 jun. 2024.
APA
Villela, V. C., Lira, E. S., & Fujita, A. (2023). Spectrum-based statistical methods for directed graphs with applications in biological data. In . Cham: Springer. doi:10.1007/978-3-031-42715-2_5
NLM
Villela VC, Lira ES, Fujita A. Spectrum-based statistical methods for directed graphs with applications in biological data [Internet]. 2023 ;[citado 2024 jun. 30 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_5
Vancouver
Villela VC, Lira ES, Fujita A. Spectrum-based statistical methods for directed graphs with applications in biological data [Internet]. 2023 ;[citado 2024 jun. 30 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_5
Trabalho de evento
Exploring identifiability in hybrid models of cell signaling pathways (2023)
Sousa, Ronaldo Nogueira de ; Campos, Cristiano G. S ; Wang, Willian ; Hashimoto, Ronaldo Fumio ; Armelin, Hugo Aguirre ; Reis, Marcelo S.
Nome do evento: Brazilian Symposium on Bioinformatics - BSB. Unidades: IME, IQ, BIOINFORMÁTICA
Assuntos: PROBLEMAS INVERSOS, REDES NEURAIS, APRENDIZADO COMPUTACIONAL
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ABNT
SOUSA, Ronaldo Nogueira de et al. Exploring identifiability in hybrid models of cell signaling pathways. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-42715-2_14. Acesso em: 30 jun. 2024.
APA
Sousa, R. N. de, Campos, C. G. S., Wang, W., Hashimoto, R. F., Armelin, H. A., & Reis, M. S. (2023). Exploring identifiability in hybrid models of cell signaling pathways. In . Cham: Springer. doi:10.1007/978-3-031-42715-2_14
NLM
Sousa RN de, Campos CGS, Wang W, Hashimoto RF, Armelin HA, Reis MS. Exploring identifiability in hybrid models of cell signaling pathways [Internet]. 2023 ;[citado 2024 jun. 30 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_14
Vancouver
Sousa RN de, Campos CGS, Wang W, Hashimoto RF, Armelin HA, Reis MS. Exploring identifiability in hybrid models of cell signaling pathways [Internet]. 2023 ;[citado 2024 jun. 30 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_14
Parte de monografia/livro
Computational tools for comparing gene coexpression networks (2020)
Carvalho, Vinicius Jardim ; Moreno, Camila Castro; Fujita, André
Fonte: Networks in systems biology : applications for disease modeling. Unidades: IME, BIOINFORMÁTICA
Assunto: BIOINFORMÁTICA
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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: 30 jun. 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 jun. 30 ] 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 jun. 30 ] Available from: https://doi.org/10.1007/978-3-030-51862-2_2
Trabalho de evento-anais periodico
Deep convolutional neural networks for plant species characterization based on leaf midrib (2019)
Scabini, Leonardo Felipe dos Santos; Condori, Rayner Harold Montes ; Munhoz, Isabella de Cassia Lima; Bruno, Odemir Martinez
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: International Conference on Computer Analysis of Images and Patterns - CAIP. Unidades: IFSC, ICMC, BIOINFORMÁTICA
Assuntos: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, VISÃO COMPUTACIONAL
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ABNT
SCABINI, Leonardo Felipe dos Santos et al. Deep convolutional neural networks for plant species characterization based on leaf midrib. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-030-29891-3_34. Acesso em: 30 jun. 2024. , 2019
APA
Scabini, L. F. dos S., Condori, R. H. M., Munhoz, I. de C. L., & Bruno, O. M. (2019). Deep convolutional neural networks for plant species characterization based on leaf midrib. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. doi:10.1007/978-3-030-29891-3_34
NLM
Scabini LF dos S, Condori RHM, Munhoz I de CL, Bruno OM. Deep convolutional neural networks for plant species characterization based on leaf midrib [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11679 389-401.[citado 2024 jun. 30 ] Available from: https://doi.org/10.1007/978-3-030-29891-3_34
Vancouver
Scabini LF dos S, Condori RHM, Munhoz I de CL, Bruno OM. Deep convolutional neural networks for plant species characterization based on leaf midrib [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11679 389-401.[citado 2024 jun. 30 ] Available from: https://doi.org/10.1007/978-3-030-29891-3_34
Trabalho de evento
Analysis of gene interactions using restricted boolean networks and time-series data (2010)
Higa, Carlos H A ; Patricio, Vitor Hugo Louzada; Hashimoto, Ronaldo Fumio
Fonte: Proceedings. Nome do evento: International Symposium on Bioinformatics Research and Applications - ISBRA. Unidades: IME, BIOINFORMÁTICA
Assuntos: ÁLGEBRAS DE BOOLE, BIOINFORMÁTICA, ANÁLISE DE SÉRIES TEMPORAIS
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ABNT
HIGA, Carlos H A e PATRICIO, Vitor Hugo Louzada e HASHIMOTO, Ronaldo Fumio. Analysis of gene interactions using restricted boolean networks and time-series data. 2010, Anais.. Berlin: Springer, 2010. Disponível em: https://doi.org/10.1007/978-3-642-13078-6_9. Acesso em: 30 jun. 2024.
APA
Higa, C. H. A., Patricio, V. H. L., & Hashimoto, R. F. (2010). Analysis of gene interactions using restricted boolean networks and time-series data. In Proceedings. Berlin: Springer. doi:10.1007/978-3-642-13078-6_9
NLM
Higa CHA, Patricio VHL, Hashimoto RF. Analysis of gene interactions using restricted boolean networks and time-series data [Internet]. Proceedings. 2010 ;[citado 2024 jun. 30 ] Available from: https://doi.org/10.1007/978-3-642-13078-6_9
Vancouver
Higa CHA, Patricio VHL, Hashimoto RF. Analysis of gene interactions using restricted boolean networks and time-series data [Internet]. Proceedings. 2010 ;[citado 2024 jun. 30 ] Available from: https://doi.org/10.1007/978-3-642-13078-6_9
Trabalho de evento
Analysis of the GRNs Inference by using Tsallis entropy and a feature selection approach (2009)
Lopes, Fabrício Martins ; Oliveira, Evaldo Araujo de ; César Júnior, Roberto Marcondes
Fonte: Proceedings. Nome do evento: Iberoamerican Conference on Pattern Recognition - CIARP. Unidades: IME, BIOINFORMÁTICA
Assuntos: BIOINFORMÁTICA, VISÃO COMPUTACIONAL, ENTROPIA, EXPRESSÃO GÊNICA, INFERÊNCIA
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ABNT
LOPES, Fabrício Martins e OLIVEIRA, Evaldo Araujo de e CÉSAR JÚNIOR, Roberto Marcondes. Analysis of the GRNs Inference by using Tsallis entropy and a feature selection approach. 2009, Anais.. Berlin: Springer, 2009. Disponível em: https://doi.org/10.1007/978-3-642-10268-4_55. Acesso em: 30 jun. 2024.
APA
Lopes, F. M., Oliveira, E. A. de, & César Júnior, R. M. (2009). Analysis of the GRNs Inference by using Tsallis entropy and a feature selection approach. In Proceedings. Berlin: Springer. doi:10.1007/978-3-642-10268-4_55
NLM
Lopes FM, Oliveira EA de, César Júnior RM. Analysis of the GRNs Inference by using Tsallis entropy and a feature selection approach [Internet]. Proceedings. 2009 ;[citado 2024 jun. 30 ] Available from: https://doi.org/10.1007/978-3-642-10268-4_55
Vancouver
Lopes FM, Oliveira EA de, César Júnior RM. Analysis of the GRNs Inference by using Tsallis entropy and a feature selection approach [Internet]. Proceedings. 2009 ;[citado 2024 jun. 30 ] Available from: https://doi.org/10.1007/978-3-642-10268-4_55
Trabalho de evento
Sequence motif identification and protein family classification using probabilistic trees (2005)
Leonardi, Florencia Graciela ; Galves, Antonio
Fonte: Proceedings. Nome do evento: Brazilian Symposium on Bioinformatics - BSB. Unidades: IME, BIOINFORMÁTICA
Assuntos: PROBABILIDADE, BIOINFORMÁTICA
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ABNT
LEONARDI, Florencia Graciela e GALVES, Antonio. Sequence motif identification and protein family classification using probabilistic trees. 2005, Anais.. Berlin: Springer, 2005. Disponível em: https://doi.org/10.1007/11532323_20. Acesso em: 30 jun. 2024.
APA
Leonardi, F. G., & Galves, A. (2005). Sequence motif identification and protein family classification using probabilistic trees. In Proceedings. Berlin: Springer. doi:10.1007/11532323_20
NLM
Leonardi FG, Galves A. Sequence motif identification and protein family classification using probabilistic trees [Internet]. Proceedings. 2005 ;[citado 2024 jun. 30 ] Available from: https://doi.org/10.1007/11532323_20
Vancouver
Leonardi FG, Galves A. Sequence motif identification and protein family classification using probabilistic trees [Internet]. Proceedings. 2005 ;[citado 2024 jun. 30 ] Available from: https://doi.org/10.1007/11532323_20

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