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Spectrum-based statistical methods for directed graphs with applications in biological data (2023)
Villela, Victor Chavauty; Lira, Eduardo Silva; Fujita, André
Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidades: IME, BIOINFORMÁTICA
Subjects: BIOINFORMÁTICA, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 05 ago. 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 ago. 05 ] 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 ago. 05 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_5
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: 05 ago. 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 ago. 05 ] 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 ago. 05 ] Available from: https://doi.org/10.1007/978-3-030-51862-2_2
Parte de monografia/livro
ANOCVA: a nonparametric statistical test to compare clustering structures (2018)
Patriota, Alexandre Galvão ; Vidal, Maciel Calebe; Jesus, Davi Augusto Caetano de; Fujita, André
Source: Theoretical and applied aspects of systems biology. Unidade: IME
Subjects: BIOINFORMÁTICA, BIOESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PATRIOTA, Alexandre Galvão et al. ANOCVA: a nonparametric statistical test to compare clustering structures. Theoretical and applied aspects of systems biology. Tradução . Cham: Springer, 2018. . Disponível em: https://doi.org/10.1007/978-3-319-74974-7_6. Acesso em: 05 ago. 2024.
APA
Patriota, A. G., Vidal, M. C., Jesus, D. A. C. de, & Fujita, A. (2018). ANOCVA: a nonparametric statistical test to compare clustering structures. In Theoretical and applied aspects of systems biology. Cham: Springer. doi:10.1007/978-3-319-74974-7_6
NLM
Patriota AG, Vidal MC, Jesus DAC de, Fujita A. ANOCVA: a nonparametric statistical test to compare clustering structures [Internet]. In: Theoretical and applied aspects of systems biology. Cham: Springer; 2018. [citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/978-3-319-74974-7_6
Vancouver
Patriota AG, Vidal MC, Jesus DAC de, Fujita A. ANOCVA: a nonparametric statistical test to compare clustering structures [Internet]. In: Theoretical and applied aspects of systems biology. Cham: Springer; 2018. [citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/978-3-319-74974-7_6
Parte de monografia/livro
Causal inference and structure learning of genotype–phenotype networks using genetic variation (2016)
Ribeiro, Adele Helena; Soler, Júlia Maria Pavan ; Chaibub Neto, Elias; Fujita, André
Source: Big data analytics in genomics. Unidade: IME
Subjects: BIOINFORMÁTICA, VARIAÇÃO GENÉTICA, GENÓTIPOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBEIRO, Adele Helena et al. Causal inference and structure learning of genotype–phenotype networks using genetic variation. Big data analytics in genomics. Tradução . Cham: Springer, 2016. . Disponível em: https://doi.org/10.1007/978-3-319-41279-5_3. Acesso em: 05 ago. 2024.
APA
Ribeiro, A. H., Soler, J. M. P., Chaibub Neto, E., & Fujita, A. (2016). Causal inference and structure learning of genotype–phenotype networks using genetic variation. In Big data analytics in genomics. Cham: Springer. doi:10.1007/978-3-319-41279-5_3
NLM
Ribeiro AH, Soler JMP, Chaibub Neto E, Fujita A. Causal inference and structure learning of genotype–phenotype networks using genetic variation [Internet]. In: Big data analytics in genomics. Cham: Springer; 2016. [citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/978-3-319-41279-5_3
Vancouver
Ribeiro AH, Soler JMP, Chaibub Neto E, Fujita A. Causal inference and structure learning of genotype–phenotype networks using genetic variation [Internet]. In: Big data analytics in genomics. Cham: Springer; 2016. [citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/978-3-319-41279-5_3

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