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Artigo de periodico
Aurora A kinase and its activator TPX2 are potential therapeutic targets in KRAS-induced pancreatic cancer (2020)
Gomes Filho, Sandro Mascena; Santos, Edmilson Ozorio dos; Bertoldi, Ester Risério Matos; Scalabrini, Luiza Coimbra; Heidrich, Vitor; Dazzani, Bianca; Levantini, Elena; Reis, Eduardo Moraes ; Bassères, Daniela Sanchez
Source: Cellular Oncology. Unidades: IQ, BIOINFORMÁTICA
Subjects: NEOPLASIAS PANCREÁTICAS, BIOMARCADORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GOMES FILHO, Sandro Mascena et al. Aurora A kinase and its activator TPX2 are potential therapeutic targets in KRAS-induced pancreatic cancer. Cellular Oncology, v. 43, p. 445–460, 2020Tradução . . Disponível em: https://doi.org/10.1007/s13402-020-00498-5. Acesso em: 12 out. 2024.
APA
Gomes Filho, S. M., Santos, E. O. dos, Bertoldi, E. R. M., Scalabrini, L. C., Heidrich, V., Dazzani, B., et al. (2020). Aurora A kinase and its activator TPX2 are potential therapeutic targets in KRAS-induced pancreatic cancer. Cellular Oncology, 43, 445–460. doi:10.1007/s13402-020-00498-5
NLM
Gomes Filho SM, Santos EO dos, Bertoldi ERM, Scalabrini LC, Heidrich V, Dazzani B, Levantini E, Reis EM, Bassères DS. Aurora A kinase and its activator TPX2 are potential therapeutic targets in KRAS-induced pancreatic cancer [Internet]. Cellular Oncology. 2020 ; 43 445–460.[citado 2024 out. 12 ] Available from: https://doi.org/10.1007/s13402-020-00498-5
Vancouver
Gomes Filho SM, Santos EO dos, Bertoldi ERM, Scalabrini LC, Heidrich V, Dazzani B, Levantini E, Reis EM, Bassères DS. Aurora A kinase and its activator TPX2 are potential therapeutic targets in KRAS-induced pancreatic cancer [Internet]. Cellular Oncology. 2020 ; 43 445–460.[citado 2024 out. 12 ] Available from: https://doi.org/10.1007/s13402-020-00498-5
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
BayBoots: a model-free Bayesian tool to identify class markers from gene expression data (2006)
Vêncio, Ricardo Zorzetto Nicoliello ; Patrão, Diogo F. C. ; Baptista, Cassio S. ; Pereira, Carlos Alberto de Bragança ; Zingales, Bianca
Source: Genetics and Molecular Research. Unidades: IME, IQ, BIOINFORMÁTICA
Subjects: INFERÊNCIA BAYESIANA, BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VÊNCIO, Ricardo Zorzetto Nicoliello et al. BayBoots: a model-free Bayesian tool to identify class markers from gene expression data. Genetics and Molecular Research, v. 5, n. 1, p. 138-142, 2006Tradução . . Disponível em: https://www.geneticsmr.com/articles/252. Acesso em: 12 out. 2024.
APA
Vêncio, R. Z. N., Patrão, D. F. C., Baptista, C. S., Pereira, C. A. de B., & Zingales, B. (2006). BayBoots: a model-free Bayesian tool to identify class markers from gene expression data. Genetics and Molecular Research, 5( 1), 138-142. Recuperado de https://www.geneticsmr.com/articles/252
NLM
Vêncio RZN, Patrão DFC, Baptista CS, Pereira CA de B, Zingales B. BayBoots: a model-free Bayesian tool to identify class markers from gene expression data [Internet]. Genetics and Molecular Research. 2006 ; 5( 1): 138-142.[citado 2024 out. 12 ] Available from: https://www.geneticsmr.com/articles/252
Vancouver
Vêncio RZN, Patrão DFC, Baptista CS, Pereira CA de B, Zingales B. BayBoots: a model-free Bayesian tool to identify class markers from gene expression data [Internet]. Genetics and Molecular Research. 2006 ; 5( 1): 138-142.[citado 2024 out. 12 ] Available from: https://www.geneticsmr.com/articles/252
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: 12 out. 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 out. 12 ] 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 out. 12 ] Available from: https://doi.org/10.1590/S0100-879X2005001100002

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