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Artigo de periodico
A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification (2023)
Relvas, Carlos E. M.; Nakata, Asuka; Chen, Guoan; Beer, David G. ; Gotoh, Noriko ; Fujita, André
Source: Journal of Bioinformatics and Computational Biology. Unidade: IME
Subjects: BIOINFORMÁTICA, NEOPLASIAS PULMONARES, MODELOS PARA PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RELVAS, Carlos E. M. et al. A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification. Journal of Bioinformatics and Computational Biology, v. 21, n. artigo 2350019, p. 1-26, 2023Tradução . . Disponível em: https://doi.org/10.1142/S0219720023500191. Acesso em: 02 out. 2024.
APA
Relvas, C. E. M., Nakata, A., Chen, G., Beer, D. G., Gotoh, N., & Fujita, A. (2023). A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification. Journal of Bioinformatics and Computational Biology, 21( artigo 2350019), 1-26. doi:10.1142/S0219720023500191
NLM
Relvas CEM, Nakata A, Chen G, Beer DG, Gotoh N, Fujita A. A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification [Internet]. Journal of Bioinformatics and Computational Biology. 2023 ; 21( artigo 2350019): 1-26.[citado 2024 out. 02 ] Available from: https://doi.org/10.1142/S0219720023500191
Vancouver
Relvas CEM, Nakata A, Chen G, Beer DG, Gotoh N, Fujita A. A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification [Internet]. Journal of Bioinformatics and Computational Biology. 2023 ; 21( artigo 2350019): 1-26.[citado 2024 out. 02 ] Available from: https://doi.org/10.1142/S0219720023500191
Artigo de periodico
Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII (2021)
Lopes, Tiago José da Silva ; Rios, Ricardo Araújo ; Nogueira, Tatiane ; Mello, Rodrigo Fernandes de
Source: Scientific Reports. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, HEMOFILIA, PROTEÍNAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Tiago José da Silva et al. Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII. Scientific Reports, v. 11, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1038/s41598-021-92201-3. Acesso em: 02 out. 2024.
APA
Lopes, T. J. da S., Rios, R. A., Nogueira, T., & Mello, R. F. de. (2021). Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII. Scientific Reports, 11, 1-11. doi:10.1038/s41598-021-92201-3
NLM
Lopes TJ da S, Rios RA, Nogueira T, Mello RF de. Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII [Internet]. Scientific Reports. 2021 ; 11 1-11.[citado 2024 out. 02 ] Available from: https://doi.org/10.1038/s41598-021-92201-3
Vancouver
Lopes TJ da S, Rios RA, Nogueira T, Mello RF de. Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII [Internet]. Scientific Reports. 2021 ; 11 1-11.[citado 2024 out. 02 ] Available from: https://doi.org/10.1038/s41598-021-92201-3
Artigo de periodico
Prediction of hemophilia A severity using a small-input machine-learning framework (2021)
Lopes, Tiago José da Silva ; Rios, Ricardo Araújo ; Nogueira, Tatiane ; Mello, Rodrigo Fernandes de
Source: npj Systems Biology and Applications. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, HEMOFILIA, PROTEÍNAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Tiago José da Silva et al. Prediction of hemophilia A severity using a small-input machine-learning framework. npj Systems Biology and Applications, v. 7, p. 1-8, 2021Tradução . . Disponível em: https://doi.org/10.1038/s41540-021-00183-9. Acesso em: 02 out. 2024.
APA
Lopes, T. J. da S., Rios, R. A., Nogueira, T., & Mello, R. F. de. (2021). Prediction of hemophilia A severity using a small-input machine-learning framework. npj Systems Biology and Applications, 7, 1-8. doi:10.1038/s41540-021-00183-9
NLM
Lopes TJ da S, Rios RA, Nogueira T, Mello RF de. Prediction of hemophilia A severity using a small-input machine-learning framework [Internet]. npj Systems Biology and Applications. 2021 ; 7 1-8.[citado 2024 out. 02 ] Available from: https://doi.org/10.1038/s41540-021-00183-9
Vancouver
Lopes TJ da S, Rios RA, Nogueira T, Mello RF de. Prediction of hemophilia A severity using a small-input machine-learning framework [Internet]. npj Systems Biology and Applications. 2021 ; 7 1-8.[citado 2024 out. 02 ] Available from: https://doi.org/10.1038/s41540-021-00183-9
Artigo de periodico
Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancer (2020)
Andrade, Fernando; Nakata, Asuka; Gotoh, Noriko ; Fujita, André
Source: Genetics and Molecular Biology. Unidades: IME, BIOINFORMÁTICA
Subjects: BIOINFORMÁTICA, NEOPLASIAS, ANÁLISE DE SOBREVIVÊNCIA
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ABNT
ANDRADE, Fernando et al. Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancer. Genetics and Molecular Biology, v. 43, n. 1, p. 1-11, 2020Tradução . . Disponível em: https://doi.org/10.1590/1678-4685-gmb-2018-0269. Acesso em: 02 out. 2024.
APA
Andrade, F., Nakata, A., Gotoh, N., & Fujita, A. (2020). Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancer. Genetics and Molecular Biology, 43( 1), 1-11. doi:10.1590/1678-4685-gmb-2018-0269
NLM
Andrade F, Nakata A, Gotoh N, Fujita A. Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancer [Internet]. Genetics and Molecular Biology. 2020 ; 43( 1): 1-11.[citado 2024 out. 02 ] Available from: https://doi.org/10.1590/1678-4685-gmb-2018-0269
Vancouver
Andrade F, Nakata A, Gotoh N, Fujita A. Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancer [Internet]. Genetics and Molecular Biology. 2020 ; 43( 1): 1-11.[citado 2024 out. 02 ] Available from: https://doi.org/10.1590/1678-4685-gmb-2018-0269
Artigo de periodico
Elevated β-catenin pathway as a novel target for patients with resistance to EGF receptor targeting drugs (2015)
Nakata, Asuka; Yoshida, Ryo ; Yamaguchi, Rui ; Yamauchi, Mai; Tamada, Yoshinori ; Fujita, André ; Shimamura, Teppei ; Imoto, Seiya ; Higuchi, Tomoyuki ; Nomura, Masaharu; Kimura, Tatsuo ; Nokihara, Hiroshi ; Higashiyama, Masahiko; Kondoh, Kazuya; Nishihara, Hiroshi ; Tojo, Arinobu ; Yano, Seiji ; Miyano, Satoru ; Gotoh, Noriko
Source: Scientific Reports. Unidade: IME
Subjects: BIOINFORMÁTICA, NEOPLASIAS PULMONARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAKATA, Asuka et al. Elevated β-catenin pathway as a novel target for patients with resistance to EGF receptor targeting drugs. Scientific Reports, v. 5, 2015Tradução . . Disponível em: https://doi.org/10.1038/srep13076. Acesso em: 02 out. 2024.
APA
Nakata, A., Yoshida, R., Yamaguchi, R., Yamauchi, M., Tamada, Y., Fujita, A., et al. (2015). Elevated β-catenin pathway as a novel target for patients with resistance to EGF receptor targeting drugs. Scientific Reports, 5. doi:10.1038/srep13076
NLM
Nakata A, Yoshida R, Yamaguchi R, Yamauchi M, Tamada Y, Fujita A, Shimamura T, Imoto S, Higuchi T, Nomura M, Kimura T, Nokihara H, Higashiyama M, Kondoh K, Nishihara H, Tojo A, Yano S, Miyano S, Gotoh N. Elevated β-catenin pathway as a novel target for patients with resistance to EGF receptor targeting drugs [Internet]. Scientific Reports. 2015 ; 5[citado 2024 out. 02 ] Available from: https://doi.org/10.1038/srep13076
Vancouver
Nakata A, Yoshida R, Yamaguchi R, Yamauchi M, Tamada Y, Fujita A, Shimamura T, Imoto S, Higuchi T, Nomura M, Kimura T, Nokihara H, Higashiyama M, Kondoh K, Nishihara H, Tojo A, Yano S, Miyano S, Gotoh N. Elevated β-catenin pathway as a novel target for patients with resistance to EGF receptor targeting drugs [Internet]. Scientific Reports. 2015 ; 5[citado 2024 out. 02 ] Available from: https://doi.org/10.1038/srep13076
Artigo de periodico
A comparative study of statistical methods used to identify dependencies between gene expression signals (2014)
Santos, Suzana de Siqueira ; Takahashi, Daniel Yasumasa ; Nakata, Asuka; Fujita, André
Source: Briefings in Bioinformatics. Unidade: IME
Subjects: BIOINFORMÁTICA, ESTATÍSTICA COMPUTACIONAL, CORRELAÇÃO GENÉTICA E AMBIENTAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Suzana de Siqueira et al. A comparative study of statistical methods used to identify dependencies between gene expression signals. Briefings in Bioinformatics, v. 15, n. 6, p. 906-918, 2014Tradução . . Disponível em: https://doi.org/10.1093/bib/bbt051. Acesso em: 02 out. 2024.
APA
Santos, S. de S., Takahashi, D. Y., Nakata, A., & Fujita, A. (2014). A comparative study of statistical methods used to identify dependencies between gene expression signals. Briefings in Bioinformatics, 15( 6), 906-918. doi:10.1093/bib/bbt051
NLM
Santos S de S, Takahashi DY, Nakata A, Fujita A. A comparative study of statistical methods used to identify dependencies between gene expression signals [Internet]. Briefings in Bioinformatics. 2014 ; 15( 6): 906-918.[citado 2024 out. 02 ] Available from: https://doi.org/10.1093/bib/bbt051
Vancouver
Santos S de S, Takahashi DY, Nakata A, Fujita A. A comparative study of statistical methods used to identify dependencies between gene expression signals [Internet]. Briefings in Bioinformatics. 2014 ; 15( 6): 906-918.[citado 2024 out. 02 ] Available from: https://doi.org/10.1093/bib/bbt051
Parte de monografia/livro
A tutorial to identify nonlinear associations in gene expression time series data (2014)
Fujita, André ; Miyano, Satoru
Source: Transcription factor regulatory networks: methods and protocols. Unidade: IME
Subjects: BIOINFORMÁTICA, ANÁLISE DE SÉRIES TEMPORAIS, ANÁLISE MULTIVARIADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FUJITA, André e MIYANO, Satoru. A tutorial to identify nonlinear associations in gene expression time series data. Transcription factor regulatory networks: methods and protocols. Tradução . New York: Humana Press, 2014. . Disponível em: https://doi.org/10.1007/978-1-4939-0805-9_8. Acesso em: 02 out. 2024.
APA
Fujita, A., & Miyano, S. (2014). A tutorial to identify nonlinear associations in gene expression time series data. In Transcription factor regulatory networks: methods and protocols. New York: Humana Press. doi:10.1007/978-1-4939-0805-9_8
NLM
Fujita A, Miyano S. A tutorial to identify nonlinear associations in gene expression time series data [Internet]. In: Transcription factor regulatory networks: methods and protocols. New York: Humana Press; 2014. [citado 2024 out. 02 ] Available from: https://doi.org/10.1007/978-1-4939-0805-9_8
Vancouver
Fujita A, Miyano S. A tutorial to identify nonlinear associations in gene expression time series data [Internet]. In: Transcription factor regulatory networks: methods and protocols. New York: Humana Press; 2014. [citado 2024 out. 02 ] Available from: https://doi.org/10.1007/978-1-4939-0805-9_8
Artigo de periodico
Systems biology model repository for macrophage pathway simulation (2011)
Nagasawa, Masao; Saito, Ayumu ; Fujita, André ; Tremmel, Georg ; Ueno, Kazuko ; Ikeda, Emi; Jeong, Euna ; Miyano, Satoru
Source: Bioinformatics. Unidade: IME
Assunto: BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAGASAWA, Masao et al. Systems biology model repository for macrophage pathway simulation. Bioinformatics, v. 27, n. 11, p. 1591-1593, 2011Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/btr173. Acesso em: 02 out. 2024.
APA
Nagasawa, M., Saito, A., Fujita, A., Tremmel, G., Ueno, K., Ikeda, E., et al. (2011). Systems biology model repository for macrophage pathway simulation. Bioinformatics, 27( 11), 1591-1593. doi:10.1093/bioinformatics/btr173
NLM
Nagasawa M, Saito A, Fujita A, Tremmel G, Ueno K, Ikeda E, Jeong E, Miyano S. Systems biology model repository for macrophage pathway simulation [Internet]. Bioinformatics. 2011 ; 27( 11): 1591-1593.[citado 2024 out. 02 ] Available from: https://doi.org/10.1093/bioinformatics/btr173
Vancouver
Nagasawa M, Saito A, Fujita A, Tremmel G, Ueno K, Ikeda E, Jeong E, Miyano S. Systems biology model repository for macrophage pathway simulation [Internet]. Bioinformatics. 2011 ; 27( 11): 1591-1593.[citado 2024 out. 02 ] Available from: https://doi.org/10.1093/bioinformatics/btr173
Monografia/livro-ed/org
Advances in bioinformatics and computational biology (2010)
Ferreira, Carlos Eduardo (Editor) ; Miyano, Satoru (Editor); Stadler, Peter F. (Editor)
Conference titles: Brazilian Symposium on Bioinformatics- BSB. Unidade: IME
Subjects: INTELIGÊNCIA ARTIFICIAL, BIOINFORMÁTICA
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ABNT
Advances in bioinformatics and computational biology. . Berlin: Springer. Disponível em: https://doi.org/10.1007/978-3-642-15060-9. Acesso em: 02 out. 2024. , 2010
APA
Advances in bioinformatics and computational biology. (2010). Advances in bioinformatics and computational biology. Berlin: Springer. doi:10.1007/978-3-642-15060-9
NLM
Advances in bioinformatics and computational biology [Internet]. 2010 ;[citado 2024 out. 02 ] Available from: https://doi.org/10.1007/978-3-642-15060-9
Vancouver
Advances in bioinformatics and computational biology [Internet]. 2010 ;[citado 2024 out. 02 ] Available from: https://doi.org/10.1007/978-3-642-15060-9

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