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  • Artigo de periodico

    Identifying regulational alterations in gene regulatory networks by state space representation of vector autoregressive models and variational annealing (2012)

    Kojima, Kaname ; Imoto, Seiya ; Yamaguchi, Rui ; Fujita, André ; Yamaouchi, Mai; Gotoh, Noriko ; Miyano, Satoru

    Source: BMC Genomics. Unidade: IME

    Assunto: GENOMAS

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    • ABNT

      KOJIMA, Kaname et al. Identifying regulational alterations in gene regulatory networks by state space representation of vector autoregressive models and variational annealing. BMC Genomics, v. 13, p. 1-14, 2012Tradução . . Disponível em: https://doi.org/10.1186/1471-2164-13-S1-S6. Acesso em: 04 maio 2024.

    • APA

      Kojima, K., Imoto, S., Yamaguchi, R., Fujita, A., Yamaouchi, M., Gotoh, N., & Miyano, S. (2012). Identifying regulational alterations in gene regulatory networks by state space representation of vector autoregressive models and variational annealing. BMC Genomics, 13, 1-14. doi:10.1186/1471-2164-13-S1-S6

    • NLM

      Kojima K, Imoto S, Yamaguchi R, Fujita A, Yamaouchi M, Gotoh N, Miyano S. Identifying regulational alterations in gene regulatory networks by state space representation of vector autoregressive models and variational annealing [Internet]. BMC Genomics. 2012 ; 13 1-14.[citado 2024 maio 04 ] Available from: https://doi.org/10.1186/1471-2164-13-S1-S6

    • Vancouver

      Kojima K, Imoto S, Yamaguchi R, Fujita A, Yamaouchi M, Gotoh N, Miyano S. Identifying regulational alterations in gene regulatory networks by state space representation of vector autoregressive models and variational annealing [Internet]. BMC Genomics. 2012 ; 13 1-14.[citado 2024 maio 04 ] Available from: https://doi.org/10.1186/1471-2164-13-S1-S6

  • Artigo de periodico

    Potential confounders in the analysis of Brazilian adolescent’s health: a combination of machine learning and graph theory (2020)

    Oku, Amanda Yumi Ambriola ; Morais, Guilherme Augusto Zimeo ; Bueno, Ana Paula Arantes ; Fujita, André ; Sato, João Ricardo

    Source: International Journal of Environmental Research and Public Health. Unidade: IME

    Subjects: ADOLESCENTES, TEORIA DOS GRAFOS

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      OKU, Amanda Yumi Ambriola et al. Potential confounders in the analysis of Brazilian adolescent’s health: a combination of machine learning and graph theory. International Journal of Environmental Research and Public Health, v. 17, n. 1, p. 1-10, 2020Tradução . . Disponível em: https://doi.org/10.3390/ijerph17010090. Acesso em: 04 maio 2024.

    • APA

      Oku, A. Y. A., Morais, G. A. Z., Bueno, A. P. A., Fujita, A., & Sato, J. R. (2020). Potential confounders in the analysis of Brazilian adolescent’s health: a combination of machine learning and graph theory. International Journal of Environmental Research and Public Health, 17( 1), 1-10. doi:10.3390/ijerph17010090

    • NLM

      Oku AYA, Morais GAZ, Bueno APA, Fujita A, Sato JR. Potential confounders in the analysis of Brazilian adolescent’s health: a combination of machine learning and graph theory [Internet]. International Journal of Environmental Research and Public Health. 2020 ; 17( 1): 1-10.[citado 2024 maio 04 ] Available from: https://doi.org/10.3390/ijerph17010090

    • Vancouver

      Oku AYA, Morais GAZ, Bueno APA, Fujita A, Sato JR. Potential confounders in the analysis of Brazilian adolescent’s health: a combination of machine learning and graph theory [Internet]. International Journal of Environmental Research and Public Health. 2020 ; 17( 1): 1-10.[citado 2024 maio 04 ] Available from: https://doi.org/10.3390/ijerph17010090

  • 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

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      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: 04 maio 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 maio 04 ] 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 maio 04 ] Available from: https://doi.org/10.1093/bioinformatics/btr173

  • Artigo de periodico

    Conservative generalized bifurcation diagrams and phase space properties for oval-like billiards (2022)

    Costa, Diogo Ricardo da ; Fujita, André ; Batista, Antonio Marcos ; Sales, Matheus Rolim ; Szezech Junior, José Danilo

    Source: Chaos, Solitons & Fractals. Unidade: IME

    Subjects: TEORIA DA BIFURCAÇÃO, MÉTODOS GRÁFICOS, CAOS (SISTEMAS DINÂMICOS)

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    • ABNT

      COSTA, Diogo Ricardo da et al. Conservative generalized bifurcation diagrams and phase space properties for oval-like billiards. Chaos, Solitons & Fractals, v. 155, n. artigo 111707, p. 1-8, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2021.111707. Acesso em: 04 maio 2024.

    • APA

      Costa, D. R. da, Fujita, A., Batista, A. M., Sales, M. R., & Szezech Junior, J. D. (2022). Conservative generalized bifurcation diagrams and phase space properties for oval-like billiards. Chaos, Solitons & Fractals, 155( artigo 111707), 1-8. doi:10.1016/j.chaos.2021.111707

    • NLM

      Costa DR da, Fujita A, Batista AM, Sales MR, Szezech Junior JD. Conservative generalized bifurcation diagrams and phase space properties for oval-like billiards [Internet]. Chaos, Solitons & Fractals. 2022 ; 155( artigo 111707): 1-8.[citado 2024 maio 04 ] Available from: https://doi.org/10.1016/j.chaos.2021.111707

    • Vancouver

      Costa DR da, Fujita A, Batista AM, Sales MR, Szezech Junior JD. Conservative generalized bifurcation diagrams and phase space properties for oval-like billiards [Internet]. Chaos, Solitons & Fractals. 2022 ; 155( artigo 111707): 1-8.[citado 2024 maio 04 ] Available from: https://doi.org/10.1016/j.chaos.2021.111707

  • 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

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    • 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: 04 maio 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 maio 04 ] 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 maio 04 ] Available from: https://doi.org/10.1038/srep13076

  • Trabalho de evento-resumo

    Computational statistics in biological big data: methods and applications (2014)

    Fujita, André

    Source: Abstracts. Conference titles: Brazil-UK Frontiers of Engineering Symposium. Unidade: IME

    Subjects: COMPUTAÇÃO APLICADA, BIOINFORMÁTICA

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    • ABNT

      FUJITA, André. Computational statistics in biological big data: methods and applications. 2014, Anais.. São Paulo: FAPESP, 2014. Disponível em: http://www.fapesp.br/9032. Acesso em: 04 maio 2024.

    • APA

      Fujita, A. (2014). Computational statistics in biological big data: methods and applications. In Abstracts. São Paulo: FAPESP. Recuperado de http://www.fapesp.br/9032

    • NLM

      Fujita A. Computational statistics in biological big data: methods and applications [Internet]. Abstracts. 2014 ;[citado 2024 maio 04 ] Available from: http://www.fapesp.br/9032

    • Vancouver

      Fujita A. Computational statistics in biological big data: methods and applications [Internet]. Abstracts. 2014 ;[citado 2024 maio 04 ] Available from: http://www.fapesp.br/9032

  • 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

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      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: 04 maio 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 maio 04 ] 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 maio 04 ] Available from: https://doi.org/10.1007/978-1-4939-0805-9_8

  • Artigo de periodico

    Efficient eigenvalue counts for tree-like networks (2022)

    Guzman, Grover Enrique Castro ; Stadler, Peter F. ; Fujita, André

    Source: Journal of Complex Networks. Unidade: IME

    Subjects: COMBINATÓRIA, TEORIA DOS GRAFOS

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      GUZMAN, Grover Enrique Castro e STADLER, Peter F. e FUJITA, André. Efficient eigenvalue counts for tree-like networks. Journal of Complex Networks, v. 10, n. 5, 2022Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnac040. Acesso em: 04 maio 2024.

    • APA

      Guzman, G. E. C., Stadler, P. F., & Fujita, A. (2022). Efficient eigenvalue counts for tree-like networks. Journal of Complex Networks, 10( 5). doi:10.1093/comnet/cnac040

    • NLM

      Guzman GEC, Stadler PF, Fujita A. Efficient eigenvalue counts for tree-like networks [Internet]. Journal of Complex Networks. 2022 ; 10( 5):[citado 2024 maio 04 ] Available from: https://doi.org/10.1093/comnet/cnac040

    • Vancouver

      Guzman GEC, Stadler PF, Fujita A. Efficient eigenvalue counts for tree-like networks [Internet]. Journal of Complex Networks. 2022 ; 10( 5):[citado 2024 maio 04 ] Available from: https://doi.org/10.1093/comnet/cnac040

  • Artigo de periodico

    Dynamical properties for a tunable circular to polygonal billiard (2022)

    Costa, Diogo Ricardo da ; Fujita, André ; Sales, Matheus Rolim ; Szezech Jr., José Danilo ; Batista, Antonio Marcos

    Source: Brazilian Journal of Physics. Unidade: IME

    Subjects: SISTEMAS DINÂMICOS (FÍSICA MATEMÁTICA), CAOS (SISTEMAS DINÂMICOS)

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      COSTA, Diogo Ricardo da et al. Dynamical properties for a tunable circular to polygonal billiard. Brazilian Journal of Physics, v. 52, n. artigo 75, p. 1-10, 2022Tradução . . Disponível em: https://doi.org/10.1007/s13538-022-01075-x. Acesso em: 04 maio 2024.

    • APA

      Costa, D. R. da, Fujita, A., Sales, M. R., Szezech Jr., J. D., & Batista, A. M. (2022). Dynamical properties for a tunable circular to polygonal billiard. Brazilian Journal of Physics, 52( artigo 75), 1-10. doi:10.1007/s13538-022-01075-x

    • NLM

      Costa DR da, Fujita A, Sales MR, Szezech Jr. JD, Batista AM. Dynamical properties for a tunable circular to polygonal billiard [Internet]. Brazilian Journal of Physics. 2022 ; 52( artigo 75): 1-10.[citado 2024 maio 04 ] Available from: https://doi.org/10.1007/s13538-022-01075-x

    • Vancouver

      Costa DR da, Fujita A, Sales MR, Szezech Jr. JD, Batista AM. Dynamical properties for a tunable circular to polygonal billiard [Internet]. Brazilian Journal of Physics. 2022 ; 52( artigo 75): 1-10.[citado 2024 maio 04 ] Available from: https://doi.org/10.1007/s13538-022-01075-x

  • Artigo de periodico

    Granger causality among graphs and application to functional brain connectivity in autism spectrum disorder (2021)

    Ribeiro, Adèle Helena ; Vidal, Maciel Calebe ; Sato, João Ricardo ; Fujita, André

    Source: Entropy. Unidade: IME

    Subjects: GRAFOS ALEATÓRIOS, TRANSTORNO AUTÍSTICO

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      RIBEIRO, Adèle Helena et al. Granger causality among graphs and application to functional brain connectivity in autism spectrum disorder. Entropy, v. 23, n. 9, p. 1-21, 2021Tradução . . Disponível em: https://doi.org/10.3390/e23091204. Acesso em: 04 maio 2024.

    • APA

      Ribeiro, A. H., Vidal, M. C., Sato, J. R., & Fujita, A. (2021). Granger causality among graphs and application to functional brain connectivity in autism spectrum disorder. Entropy, 23( 9), 1-21. doi:10.3390/e23091204

    • NLM

      Ribeiro AH, Vidal MC, Sato JR, Fujita A. Granger causality among graphs and application to functional brain connectivity in autism spectrum disorder [Internet]. Entropy. 2021 ; 23( 9): 1-21.[citado 2024 maio 04 ] Available from: https://doi.org/10.3390/e23091204

    • Vancouver

      Ribeiro AH, Vidal MC, Sato JR, Fujita A. Granger causality among graphs and application to functional brain connectivity in autism spectrum disorder [Internet]. Entropy. 2021 ; 23( 9): 1-21.[citado 2024 maio 04 ] Available from: https://doi.org/10.3390/e23091204

  • Artigo de periodico

    XiP: a computational environment to create, extend and share workflows (2013)

    Nagasaki, Masao ; Fujita, André ; Sekiya, Yayoi; Saito, Ayumu ; Ikeda, Emi; Li, Chen; Miyano, Satoru

    Source: Bioinformatics. Unidade: IME

    Assunto: PROGRAMAÇÃO INTEIRA E FLUXOS EM REDE

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      NAGASAKI, Masao et al. XiP: a computational environment to create, extend and share workflows. Bioinformatics, v. 29, n. 1, p. 137-139, 2013Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/bts630. Acesso em: 04 maio 2024.

    • APA

      Nagasaki, M., Fujita, A., Sekiya, Y., Saito, A., Ikeda, E., Li, C., & Miyano, S. (2013). XiP: a computational environment to create, extend and share workflows. Bioinformatics, 29( 1), 137-139. doi:10.1093/bioinformatics/bts630

    • NLM

      Nagasaki M, Fujita A, Sekiya Y, Saito A, Ikeda E, Li C, Miyano S. XiP: a computational environment to create, extend and share workflows [Internet]. Bioinformatics. 2013 ; 29( 1): 137-139.[citado 2024 maio 04 ] Available from: https://doi.org/10.1093/bioinformatics/bts630

    • Vancouver

      Nagasaki M, Fujita A, Sekiya Y, Saito A, Ikeda E, Li C, Miyano S. XiP: a computational environment to create, extend and share workflows [Internet]. Bioinformatics. 2013 ; 29( 1): 137-139.[citado 2024 maio 04 ] Available from: https://doi.org/10.1093/bioinformatics/bts630

  • Artigo de periodico

    Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms (2022)

    Oku, Amanda Yumi Ambriola ; Barreto, Candida ; Bruneri, Guilherme; Brockington, Guilherme ; Fujita, André ; Sato, João Ricardo

    Source: Frontiers in Computational Neuroscience. Unidade: IME

    Subjects: TEORIA DOS GRAFOS, NEUROCIÊNCIAS

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      OKU, Amanda Yumi Ambriola et al. Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms. Frontiers in Computational Neuroscience, v. 16, 2022Tradução . . Disponível em: https://doi.org/10.3389/fncom.2022.975743. Acesso em: 04 maio 2024.

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      Oku, A. Y. A., Barreto, C., Bruneri, G., Brockington, G., Fujita, A., & Sato, J. R. (2022). Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms. Frontiers in Computational Neuroscience, 16. doi:10.3389/fncom.2022.975743

    • NLM

      Oku AYA, Barreto C, Bruneri G, Brockington G, Fujita A, Sato JR. Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms [Internet]. Frontiers in Computational Neuroscience. 2022 ; 16[citado 2024 maio 04 ] Available from: https://doi.org/10.3389/fncom.2022.975743

    • Vancouver

      Oku AYA, Barreto C, Bruneri G, Brockington G, Fujita A, Sato JR. Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms [Internet]. Frontiers in Computational Neuroscience. 2022 ; 16[citado 2024 maio 04 ] Available from: https://doi.org/10.3389/fncom.2022.975743

  • Artigo de periodico

    Evaluation of pattern recognition and feature extraction methods in ADHD prediction (2012)

    Sato, João Ricardo ; Hoexter, Marcelo Queiroz ; Fujita, André ; Rohde, Luis Augusto

    Source: Frontiers in Systems Neuroscience. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      SATO, João Ricardo et al. Evaluation of pattern recognition and feature extraction methods in ADHD prediction. Frontiers in Systems Neuroscience, v. 6, p. 1-14, 2012Tradução . . Disponível em: https://doi.org/10.3389/fnsys.2012.00068. Acesso em: 04 maio 2024.

    • APA

      Sato, J. R., Hoexter, M. Q., Fujita, A., & Rohde, L. A. (2012). Evaluation of pattern recognition and feature extraction methods in ADHD prediction. Frontiers in Systems Neuroscience, 6, 1-14. doi:10.3389/fnsys.2012.00068

    • NLM

      Sato JR, Hoexter MQ, Fujita A, Rohde LA. Evaluation of pattern recognition and feature extraction methods in ADHD prediction [Internet]. Frontiers in Systems Neuroscience. 2012 ; 6 1-14.[citado 2024 maio 04 ] Available from: https://doi.org/10.3389/fnsys.2012.00068

    • Vancouver

      Sato JR, Hoexter MQ, Fujita A, Rohde LA. Evaluation of pattern recognition and feature extraction methods in ADHD prediction [Internet]. Frontiers in Systems Neuroscience. 2012 ; 6 1-14.[citado 2024 maio 04 ] Available from: https://doi.org/10.3389/fnsys.2012.00068

  • 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

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      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: 04 maio 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

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      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 maio 04 ] 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 maio 04 ] Available from: https://doi.org/10.1093/bib/bbt051

  • Trabalho de evento

    Predicting soft robot's locomotion fitness (2021)

    Biazzi, Renata Biaggi ; Fujita, André ; Takahashi, Daniel Yasumasa

    Source: Proceedings. Conference titles: Genetic and Evolutionary Computation Conference Companion - GECCO. Unidades: IME, BIOINFORMÁTICA

    Subjects: ROBÓTICA, LOCOMOÇÃO

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      BIAZZI, Renata Biaggi e FUJITA, André e TAKAHASHI, Daniel Yasumasa. Predicting soft robot's locomotion fitness. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3449726.3459417. Acesso em: 04 maio 2024.

    • APA

      Biazzi, R. B., Fujita, A., & Takahashi, D. Y. (2021). Predicting soft robot's locomotion fitness. In Proceedings. New York: ACM. doi:10.1145/3449726.3459417

    • NLM

      Biazzi RB, Fujita A, Takahashi DY. Predicting soft robot's locomotion fitness [Internet]. Proceedings. 2021 ;[citado 2024 maio 04 ] Available from: https://doi.org/10.1145/3449726.3459417

    • Vancouver

      Biazzi RB, Fujita A, Takahashi DY. Predicting soft robot's locomotion fitness [Internet]. Proceedings. 2021 ;[citado 2024 maio 04 ] Available from: https://doi.org/10.1145/3449726.3459417

  • Parte de monografia/livro

    Statistical methods in graphs: parameter estimation, model selection, and hypothesis test (2016)

    Santos, Suzana de Siqueira; Takahashi, Daniel Yasumasa; Sato, João Ricardo; Ferreira, Carlos Eduardo ; Fujita, André

    Source: Mathematical foundations and applications of graph entropy. Unidade: IME

    Subjects: TEORIA DOS GRAFOS, PROBABILIDADE, ESTIMAÇÃO PARAMÉTRICA, TESTES DE HIPÓTESES, SELEÇÃO DE MODELOS, BIOESTATÍSTICA

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      SANTOS, Suzana de Siqueira et al. Statistical methods in graphs: parameter estimation, model selection, and hypothesis test. Mathematical foundations and applications of graph entropy. Tradução . Weinheim: Wiley-VCH, 2016. . Disponível em: https://doi.org/10.1002/9783527693245.ch6. Acesso em: 04 maio 2024.

    • APA

      Santos, S. de S., Takahashi, D. Y., Sato, J. R., Ferreira, C. E., & Fujita, A. (2016). Statistical methods in graphs: parameter estimation, model selection, and hypothesis test. In Mathematical foundations and applications of graph entropy. Weinheim: Wiley-VCH. doi:10.1002/9783527693245.ch6

    • NLM

      Santos S de S, Takahashi DY, Sato JR, Ferreira CE, Fujita A. Statistical methods in graphs: parameter estimation, model selection, and hypothesis test [Internet]. In: Mathematical foundations and applications of graph entropy. Weinheim: Wiley-VCH; 2016. [citado 2024 maio 04 ] Available from: https://doi.org/10.1002/9783527693245.ch6

    • Vancouver

      Santos S de S, Takahashi DY, Sato JR, Ferreira CE, Fujita A. Statistical methods in graphs: parameter estimation, model selection, and hypothesis test [Internet]. In: Mathematical foundations and applications of graph entropy. Weinheim: Wiley-VCH; 2016. [citado 2024 maio 04 ] Available from: https://doi.org/10.1002/9783527693245.ch6

  • Parte de monografia/livro

    Causal inference and structure learning of genotype–phenotype networks using genetic variation (2016)

    Ribeiro, Adele Helena; Soler, Júlia Maria Pavan ; Chaibub Neto, Elias; Fujita, André

    Source: Big data analytics in genomics. Unidade: IME

    Subjects: BIOINFORMÁTICA, VARIAÇÃO GENÉTICA, GENÓTIPOS

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      RIBEIRO, Adele Helena et al. Causal inference and structure learning of genotype–phenotype networks using genetic variation. Big data analytics in genomics. Tradução . Cham: Springer, 2016. . Disponível em: https://doi.org/10.1007/978-3-319-41279-5_3. Acesso em: 04 maio 2024.

    • APA

      Ribeiro, A. H., Soler, J. M. P., Chaibub Neto, E., & Fujita, A. (2016). Causal inference and structure learning of genotype–phenotype networks using genetic variation. In Big data analytics in genomics. Cham: Springer. doi:10.1007/978-3-319-41279-5_3

    • NLM

      Ribeiro AH, Soler JMP, Chaibub Neto E, Fujita A. Causal inference and structure learning of genotype–phenotype networks using genetic variation [Internet]. In: Big data analytics in genomics. Cham: Springer; 2016. [citado 2024 maio 04 ] Available from: https://doi.org/10.1007/978-3-319-41279-5_3

    • Vancouver

      Ribeiro AH, Soler JMP, Chaibub Neto E, Fujita A. Causal inference and structure learning of genotype–phenotype networks using genetic variation [Internet]. In: Big data analytics in genomics. Cham: Springer; 2016. [citado 2024 maio 04 ] Available from: https://doi.org/10.1007/978-3-319-41279-5_3

  • Artigo de periodico

    Spectral density of random graphs: convergence properties and application in model fitting (2021)

    Santos, Suzana de Siqueira ; Fujita, André ; Matias, Catherine

    Source: Journal of Complex Networks. Unidade: IME

    Assunto: TEORIA DOS GRAFOS

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      SANTOS, Suzana de Siqueira e FUJITA, André e MATIAS, Catherine. Spectral density of random graphs: convergence properties and application in model fitting. Journal of Complex Networks, v. 9, n. 6, p. 1-27, 2021Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnab041. Acesso em: 04 maio 2024.

    • APA

      Santos, S. de S., Fujita, A., & Matias, C. (2021). Spectral density of random graphs: convergence properties and application in model fitting. Journal of Complex Networks, 9( 6), 1-27. doi:10.1093/comnet/cnab041

    • NLM

      Santos S de S, Fujita A, Matias C. Spectral density of random graphs: convergence properties and application in model fitting [Internet]. Journal of Complex Networks. 2021 ; 9( 6): 1-27.[citado 2024 maio 04 ] Available from: https://doi.org/10.1093/comnet/cnab041

    • Vancouver

      Santos S de S, Fujita A, Matias C. Spectral density of random graphs: convergence properties and application in model fitting [Internet]. Journal of Complex Networks. 2021 ; 9( 6): 1-27.[citado 2024 maio 04 ] Available from: https://doi.org/10.1093/comnet/cnab041

  • Parte de monografia/livro

    ANOCVA: a nonparametric statistical test to compare clustering structures (2018)

    Patriota, Alexandre Galvão ; Vidal, Maciel Calebe; Jesus, Davi Augusto Caetano de; Fujita, André

    Source: Theoretical and applied aspects of systems biology. Unidade: IME

    Subjects: BIOINFORMÁTICA, BIOESTATÍSTICA

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    • ABNT

      PATRIOTA, Alexandre Galvão et al. ANOCVA: a nonparametric statistical test to compare clustering structures. Theoretical and applied aspects of systems biology. Tradução . Cham: Springer, 2018. . Disponível em: https://doi.org/10.1007/978-3-319-74974-7_6. Acesso em: 04 maio 2024.

    • APA

      Patriota, A. G., Vidal, M. C., Jesus, D. A. C. de, & Fujita, A. (2018). ANOCVA: a nonparametric statistical test to compare clustering structures. In Theoretical and applied aspects of systems biology. Cham: Springer. doi:10.1007/978-3-319-74974-7_6

    • NLM

      Patriota AG, Vidal MC, Jesus DAC de, Fujita A. ANOCVA: a nonparametric statistical test to compare clustering structures [Internet]. In: Theoretical and applied aspects of systems biology. Cham: Springer; 2018. [citado 2024 maio 04 ] Available from: https://doi.org/10.1007/978-3-319-74974-7_6

    • Vancouver

      Patriota AG, Vidal MC, Jesus DAC de, Fujita A. ANOCVA: a nonparametric statistical test to compare clustering structures [Internet]. In: Theoretical and applied aspects of systems biology. Cham: Springer; 2018. [citado 2024 maio 04 ] Available from: https://doi.org/10.1007/978-3-319-74974-7_6

  • Artigo de periodico

    Functional clustering of time series gene expression data by Granger causality (2012)

    Fujita, André ; Severino, Patrícia ; Kaname, Kojima ; Sato, João Ricardo ; Patriota, Alexandre Galvão ; Miyano, Satoru

    Source: BMC Systems Biology. Unidade: IME

    Subjects: BIOQUÍMICA, ANÁLISE DE DADOS

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    • ABNT

      FUJITA, André et al. Functional clustering of time series gene expression data by Granger causality. BMC Systems Biology, v. 6, n. 137, p. 1-12, 2012Tradução . . Disponível em: https://doi.org/10.1186/1752-0509-6-137. Acesso em: 04 maio 2024.

    • APA

      Fujita, A., Severino, P., Kaname, K., Sato, J. R., Patriota, A. G., & Miyano, S. (2012). Functional clustering of time series gene expression data by Granger causality. BMC Systems Biology, 6( 137), 1-12. doi:10.1186/1752-0509-6-137

    • NLM

      Fujita A, Severino P, Kaname K, Sato JR, Patriota AG, Miyano S. Functional clustering of time series gene expression data by Granger causality [Internet]. BMC Systems Biology. 2012 ; 6( 137): 1-12.[citado 2024 maio 04 ] Available from: https://doi.org/10.1186/1752-0509-6-137

    • Vancouver

      Fujita A, Severino P, Kaname K, Sato JR, Patriota AG, Miyano S. Functional clustering of time series gene expression data by Granger causality [Internet]. BMC Systems Biology. 2012 ; 6( 137): 1-12.[citado 2024 maio 04 ] Available from: https://doi.org/10.1186/1752-0509-6-137

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