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Artigo de periodico
Combination of differential expression and co-expression network analyses identify novel conserved age-associated changes among different tissues (2023)
Batalha, Caio M. P. F; Fujita, André ; Souza-Pinto, Nadja Cristhina de
Source: bioRxiv. Unidades: IME, IQ
Subjects: ENVELHECIMENTO, EXPRESSÃO GÊNICA
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ABNT
BATALHA, Caio M. P. F e FUJITA, André e SOUZA-PINTO, Nadja Cristhina de. Combination of differential expression and co-expression network analyses identify novel conserved age-associated changes among different tissues. bioRxiv, 2023Tradução . . Disponível em: https://doi.org/10.1101/2023.05.26.542445. Acesso em: 12 out. 2024.
APA
Batalha, C. M. P. F., Fujita, A., & Souza-Pinto, N. C. de. (2023). Combination of differential expression and co-expression network analyses identify novel conserved age-associated changes among different tissues. bioRxiv. doi:10.1101/2023.05.26.542445
NLM
Batalha CMPF, Fujita A, Souza-Pinto NC de. Combination of differential expression and co-expression network analyses identify novel conserved age-associated changes among different tissues [Internet]. bioRxiv. 2023 ;[citado 2024 out. 12 ] Available from: https://doi.org/10.1101/2023.05.26.542445
Vancouver
Batalha CMPF, Fujita A, Souza-Pinto NC de. Combination of differential expression and co-expression network analyses identify novel conserved age-associated changes among different tissues [Internet]. bioRxiv. 2023 ;[citado 2024 out. 12 ] Available from: https://doi.org/10.1101/2023.05.26.542445
Artigo de periodico
Dynamic gene network analysis of caco-2 cell response to shiga toxin-producing Escherichia coli-associated hemolytic-uremic syndrome (2019)
Bando, Sílvia Yumi ; Iamashita, Priscila ; Silva, Filipi Nascimento ; Costa, Luciano da Fontoura ; Abe, Cecília M. ; Bertonha, Fernanda Bernardi ; Guth, Beatriz E. C. ; Fujita, André ; Moreira-Filho, Carlos Alberto
Source: Microorganisms. Unidades: FM, IFSC, IME
Subjects: ESCHERICHIA COLI, EXPRESSÃO GÊNICA
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ABNT
BANDO, Sílvia Yumi et al. Dynamic gene network analysis of caco-2 cell response to shiga toxin-producing Escherichia coli-associated hemolytic-uremic syndrome. Microorganisms, v. 7, n. 7, p. 195-1-195-23, 2019Tradução . . Disponível em: https://doi.org/10.3390/microorganisms7070195. Acesso em: 12 out. 2024.
APA
Bando, S. Y., Iamashita, P., Silva, F. N., Costa, L. da F., Abe, C. M., Bertonha, F. B., et al. (2019). Dynamic gene network analysis of caco-2 cell response to shiga toxin-producing Escherichia coli-associated hemolytic-uremic syndrome. Microorganisms, 7( 7), 195-1-195-23. doi:10.3390/microorganisms7070195
NLM
Bando SY, Iamashita P, Silva FN, Costa L da F, Abe CM, Bertonha FB, Guth BEC, Fujita A, Moreira-Filho CA. Dynamic gene network analysis of caco-2 cell response to shiga toxin-producing Escherichia coli-associated hemolytic-uremic syndrome [Internet]. Microorganisms. 2019 ; 7( 7): 195-1-195-23.[citado 2024 out. 12 ] Available from: https://doi.org/10.3390/microorganisms7070195
Vancouver
Bando SY, Iamashita P, Silva FN, Costa L da F, Abe CM, Bertonha FB, Guth BEC, Fujita A, Moreira-Filho CA. Dynamic gene network analysis of caco-2 cell response to shiga toxin-producing Escherichia coli-associated hemolytic-uremic syndrome [Internet]. Microorganisms. 2019 ; 7( 7): 195-1-195-23.[citado 2024 out. 12 ] Available from: https://doi.org/10.3390/microorganisms7070195
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: 12 out. 2024.
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 2024 out. 12 ] 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 2024 out. 12 ] Available from: https://doi.org/10.1371/journal.pone.0135831
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: 12 out. 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 out. 12 ] 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 out. 12 ] 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: 12 out. 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 out. 12 ] 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 out. 12 ] 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: 12 out. 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 out. 12 ] 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 out. 12 ] Available from: https://doi.org/10.1093/bioinformatics/btm151
Artigo de periodico
Evaluating different methods of microarray data normalization (2006)
Fujita, André ; Sato, João ; Rodrigues, Leonardo de Oliveira; Ferreira, Carlos Eduardo ; Sogayar, Mari Cleide
Source: BMC Bioinformatics. Unidades: IME, IQ, BIOINFORMÁTICA
Subjects: EXPRESSÃO GÊNICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ANÁLISE EM MICROSSÉRIES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FUJITA, André et al. Evaluating different methods of microarray data normalization. BMC Bioinformatics, v. 7, 2006Tradução . . Disponível em: https://doi.org/10.1186/1471-2105-7-469. Acesso em: 12 out. 2024.
APA
Fujita, A., Sato, J., Rodrigues, L. de O., Ferreira, C. E., & Sogayar, M. C. (2006). Evaluating different methods of microarray data normalization. BMC Bioinformatics, 7. doi:10.1186/1471-2105-7-469
NLM
Fujita A, Sato J, Rodrigues L de O, Ferreira CE, Sogayar MC. Evaluating different methods of microarray data normalization [Internet]. BMC Bioinformatics. 2006 ; 7[citado 2024 out. 12 ] Available from: https://doi.org/10.1186/1471-2105-7-469
Vancouver
Fujita A, Sato J, Rodrigues L de O, Ferreira CE, Sogayar MC. Evaluating different methods of microarray data normalization [Internet]. BMC Bioinformatics. 2006 ; 7[citado 2024 out. 12 ] Available from: https://doi.org/10.1186/1471-2105-7-469

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