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Artigo de periodico
CoGA: an R package to identify differentially co-expressed gene sets by analyzing the graph spectra (2015)
Santos, Suzana de Siqueira ; Galatro, Thais Fernanda de Almeida ; Watanabe, Rodrigo Akira; Shinjo, Sueli Mieko Oba ; Marie, Suely Kazue Nagahashi ; Fujita, André
Source: PloS ONE. Unidades: FM, IME
Subjects: EXPRESSÃO GÊNICA, TEORIA DA INFORMAÇÃO, REGULAÇÃO GÊNICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Suzana de Siqueira et al. CoGA: an R package to identify differentially co-expressed gene sets by analyzing the graph spectra. PloS ONE, v. 10, n. 8, p. 1-17, 2015Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0135831. Acesso em: 27 nov. 2025.
APA
Santos, S. de S., Galatro, T. F. de A., Watanabe, R. A., Shinjo, S. M. O., Marie, S. K. N., & Fujita, A. (2015). CoGA: an R package to identify differentially co-expressed gene sets by analyzing the graph spectra. PloS ONE, 10( 8), 1-17. doi:10.1371/journal.pone.0135831
NLM
Santos S de S, Galatro TF de A, Watanabe RA, Shinjo SMO, Marie SKN, Fujita A. CoGA: an R package to identify differentially co-expressed gene sets by analyzing the graph spectra [Internet]. PloS ONE. 2015 ; 10( 8): 1-17.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1371/journal.pone.0135831
Vancouver
Santos S de S, Galatro TF de A, Watanabe RA, Shinjo SMO, Marie SKN, Fujita A. CoGA: an R package to identify differentially co-expressed gene sets by analyzing the graph spectra [Internet]. PloS ONE. 2015 ; 10( 8): 1-17.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1371/journal.pone.0135831
Artigo de periodico
Transcriptional network analysis reveals that AT1 and AT2 angiotensin II receptors are both involved in the regulation of genes essential for glioma progression (2014)
Azevedo, Hátylas ; Fujita, André ; Bando, Sílvia Yumi ; Iamashita, Priscila ; Moreira-Filho, Carlos Alberto
Source: Plos One. Unidades: FM, IME
Subjects: REGULAÇÃO GÊNICA, ANGIOTENSINA II, GLIOMA, ESTATÍSTICA COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AZEVEDO, Hátylas et al. Transcriptional network analysis reveals that AT1 and AT2 angiotensin II receptors are both involved in the regulation of genes essential for glioma progression. Plos One, v. 9, n. 11, p. 1-17, 2014Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0110934. Acesso em: 27 nov. 2025.
APA
Azevedo, H., Fujita, A., Bando, S. Y., Iamashita, P., & Moreira-Filho, C. A. (2014). Transcriptional network analysis reveals that AT1 and AT2 angiotensin II receptors are both involved in the regulation of genes essential for glioma progression. Plos One, 9( 11), 1-17. doi:10.1371/journal.pone.0110934
NLM
Azevedo H, Fujita A, Bando SY, Iamashita P, Moreira-Filho CA. Transcriptional network analysis reveals that AT1 and AT2 angiotensin II receptors are both involved in the regulation of genes essential for glioma progression [Internet]. Plos One. 2014 ; 9( 11): 1-17.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1371/journal.pone.0110934
Vancouver
Azevedo H, Fujita A, Bando SY, Iamashita P, Moreira-Filho CA. Transcriptional network analysis reveals that AT1 and AT2 angiotensin II receptors are both involved in the regulation of genes essential for glioma progression [Internet]. Plos One. 2014 ; 9( 11): 1-17.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1371/journal.pone.0110934
Artigo de periodico
Inferring contagion in regulatory networks (2011)
Fujita, André ; Sato, João Ricardo ; Demasi, Marcos Angelo Almeida ; Yamaguchi, Rui ; Shimamura, Teppei ; Ferreira, Carlos Eduardo ; Sogayar, Mari Cleide ; Miyano, Satoru
Source: IEEE/ACM Transactions on Computational Biology and Bioinformatics. Unidades: IME, IQ
Subjects: REGULAÇÃO GÊNICA, BIOQUÍMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FUJITA, André et al. Inferring contagion in regulatory networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics, v. 8, n. 2, p. 570-576, 2011Tradução . . Disponível em: https://doi.org/10.1109/tcbb.2010.40. Acesso em: 27 nov. 2025.
APA
Fujita, A., Sato, J. R., Demasi, M. A. A., Yamaguchi, R., Shimamura, T., Ferreira, C. E., et al. (2011). Inferring contagion in regulatory networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8( 2), 570-576. doi:10.1109/tcbb.2010.40
NLM
Fujita A, Sato JR, Demasi MAA, Yamaguchi R, Shimamura T, Ferreira CE, Sogayar MC, Miyano S. Inferring contagion in regulatory networks [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2011 ; 8( 2): 570-576.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/tcbb.2010.40
Vancouver
Fujita A, Sato JR, Demasi MAA, Yamaguchi R, Shimamura T, Ferreira CE, Sogayar MC, Miyano S. Inferring contagion in regulatory networks [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2011 ; 8( 2): 570-576.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/tcbb.2010.40
Parte de monografia/livro
An introduction to time‐varying connectivity estimation for gene regulatory networks (2010)
Fujita, André ; Sato, João Ricardo ; Demasi, Marcos Angelo Almeida ; Miyano, Satoru ; Sogayar, Mari Cleide ; Ferreira, Carlos Eduardo
Source: Medical biostatistics for complex diseases. Unidades: IME, IQ
Subjects: EXPRESSÃO GÊNICA, REGULAÇÃO GÊNICA, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FUJITA, André et al. An introduction to time‐varying connectivity estimation for gene regulatory networks. Medical biostatistics for complex diseases. Tradução . Weinheim: Wiley-Blackwell, 2010. . Disponível em: https://doi.org/10.1002/9783527630332.ch11. Acesso em: 27 nov. 2025.
APA
Fujita, A., Sato, J. R., Demasi, M. A. A., Miyano, S., Sogayar, M. C., & Ferreira, C. E. (2010). An introduction to time‐varying connectivity estimation for gene regulatory networks. In Medical biostatistics for complex diseases. Weinheim: Wiley-Blackwell. doi:10.1002/9783527630332.ch11
NLM
Fujita A, Sato JR, Demasi MAA, Miyano S, Sogayar MC, Ferreira CE. An introduction to time‐varying connectivity estimation for gene regulatory networks [Internet]. In: Medical biostatistics for complex diseases. Weinheim: Wiley-Blackwell; 2010. [citado 2025 nov. 27 ] Available from: https://doi.org/10.1002/9783527630332.ch11
Vancouver
Fujita A, Sato JR, Demasi MAA, Miyano S, Sogayar MC, Ferreira CE. An introduction to time‐varying connectivity estimation for gene regulatory networks [Internet]. In: Medical biostatistics for complex diseases. Weinheim: Wiley-Blackwell; 2010. [citado 2025 nov. 27 ] Available from: https://doi.org/10.1002/9783527630332.ch11

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