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Artigo de periodico
GEDI: a user-friendly toolbox for analysis of large-scale gene expression data (2007)
Fujita, André ; Sato, João Ricardo; Ferreira, Carlos Eduardo ; Sogayar, Mari Cleide
Source: BMC Bioinformatics. Unidades: IME, IQ, BIOINFORMÁTICA
Subjects: EXPRESSÃO GÊNICA, BIOQUÍMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FUJITA, André et al. GEDI: a user-friendly toolbox for analysis of large-scale gene expression data. BMC Bioinformatics, v. 8, n. art. 457, p. 1-7, 2007Tradução . . Disponível em: https://doi.org/10.1186/1471-2105-8-457. Acesso em: 11 nov. 2024.
APA
Fujita, A., Sato, J. R., Ferreira, C. E., & Sogayar, M. C. (2007). GEDI: a user-friendly toolbox for analysis of large-scale gene expression data. BMC Bioinformatics, 8( art. 457), 1-7. doi:10.1186/1471-2105-8-457
NLM
Fujita A, Sato JR, Ferreira CE, Sogayar MC. GEDI: a user-friendly toolbox for analysis of large-scale gene expression data [Internet]. BMC Bioinformatics. 2007 ; 8( art. 457): 1-7.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1186/1471-2105-8-457
Vancouver
Fujita A, Sato JR, Ferreira CE, Sogayar MC. GEDI: a user-friendly toolbox for analysis of large-scale gene expression data [Internet]. BMC Bioinformatics. 2007 ; 8( art. 457): 1-7.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1186/1471-2105-8-457
Artigo de periodico
Modeling gene expression regulatory networks with the sparse vector autoregressive model (2007)
Fujita, André ; Sato, João Ricardo; Garay-Malpartida, Humberto Miguel; Yamaguchi, Rui; Miyano, Satoru; Sogayar, Mari Cleide ; Ferreira, Carlos Eduardo
Source: BMC Systems Biology. Unidades: IQ, IME, BIOINFORMÁTICA
Subjects: EXPRESSÃO GÊNICA, BIOQUÍMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FUJITA, André et al. Modeling gene expression regulatory networks with the sparse vector autoregressive model. BMC Systems Biology, v. 1, n. 39, p. 1-11, 2007Tradução . . Disponível em: https://doi.org/10.1186/1752-0509-1-39. Acesso em: 11 nov. 2024.
APA
Fujita, A., Sato, J. R., Garay-Malpartida, H. M., Yamaguchi, R., Miyano, S., Sogayar, M. C., & Ferreira, C. E. (2007). Modeling gene expression regulatory networks with the sparse vector autoregressive model. BMC Systems Biology, 1( 39), 1-11. doi:10.1186/1752-0509-1-39
NLM
Fujita A, Sato JR, Garay-Malpartida HM, Yamaguchi R, Miyano S, Sogayar MC, Ferreira CE. Modeling gene expression regulatory networks with the sparse vector autoregressive model [Internet]. BMC Systems Biology. 2007 ; 1( 39): 1-11.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1186/1752-0509-1-39
Vancouver
Fujita A, Sato JR, Garay-Malpartida HM, Yamaguchi R, Miyano S, Sogayar MC, Ferreira CE. Modeling gene expression regulatory networks with the sparse vector autoregressive model [Internet]. BMC Systems Biology. 2007 ; 1( 39): 1-11.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1186/1752-0509-1-39
Artigo de periodico
Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method (2007)
Fujita, André ; Sato, João Ricardo ; Garay-Malpartida, Humberto Miguel ; Morettin, Pedro Alberto ; Sogayar, Mari Cleide ; Ferreira, Carlos Eduardo
Source: Bioinformatics. Unidades: IME, IQ, BIOINFORMÁTICA
Subjects: EXPRESSÃO GÊNICA, BIOQUÍMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FUJITA, André et al. Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method. Bioinformatics, v. 23, n. 13, p. 1623-1630, 2007Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/btm151. Acesso em: 11 nov. 2024.
APA
Fujita, A., Sato, J. R., Garay-Malpartida, H. M., Morettin, P. A., Sogayar, M. C., & Ferreira, C. E. (2007). Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method. Bioinformatics, 23( 13), 1623-1630. doi:10.1093/bioinformatics/btm151
NLM
Fujita A, Sato JR, Garay-Malpartida HM, Morettin PA, Sogayar MC, Ferreira CE. Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method [Internet]. Bioinformatics. 2007 ; 23( 13): 1623-1630.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1093/bioinformatics/btm151
Vancouver
Fujita A, Sato JR, Garay-Malpartida HM, Morettin PA, Sogayar MC, Ferreira CE. Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method [Internet]. Bioinformatics. 2007 ; 23( 13): 1623-1630.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1093/bioinformatics/btm151
Artigo de periodico
The GATO gene annotation tool for research laboratories (2005)
Fujita, André ; Massirer, Katlin Brauer; Durham, Alan Mitchell ; Ferreira, Carlos Eduardo ; Sogayar, Mari Cleide
Source: Brazilian Journal of Medical and Biological Research. Unidades: IME, IQ, BIOINFORMÁTICA
Subjects: BIOINFORMÁTICA, BIOQUÍMICA, GENOMAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FUJITA, André et al. The GATO gene annotation tool for research laboratories. Brazilian Journal of Medical and Biological Research, v. 38, n. 11, p. 1571-1574, 2005Tradução . . Disponível em: https://doi.org/10.1590/S0100-879X2005001100002. Acesso em: 11 nov. 2024.
APA
Fujita, A., Massirer, K. B., Durham, A. M., Ferreira, C. E., & Sogayar, M. C. (2005). The GATO gene annotation tool for research laboratories. Brazilian Journal of Medical and Biological Research, 38( 11), 1571-1574. doi:10.1590/S0100-879X2005001100002
NLM
Fujita A, Massirer KB, Durham AM, Ferreira CE, Sogayar MC. The GATO gene annotation tool for research laboratories [Internet]. Brazilian Journal of Medical and Biological Research. 2005 ; 38( 11): 1571-1574.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1590/S0100-879X2005001100002
Vancouver
Fujita A, Massirer KB, Durham AM, Ferreira CE, Sogayar MC. The GATO gene annotation tool for research laboratories [Internet]. Brazilian Journal of Medical and Biological Research. 2005 ; 38( 11): 1571-1574.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1590/S0100-879X2005001100002

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