Filtros : "Fujita, André" "PLOS ONE" Removidos: "Indexado no: Scopus" "Polikarpov, Igor" "1900" Limpar

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  • Source: PLOS ONE. Unidade: IME

    Assunto: BIOINFORMÁTICA

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    • ABNT

      GUZMAN, Grover Enrique Castro et al. Identification of alterations associated with age in the clustering structure of functional brain networks. PLOS ONE, v. 13, n. 5 , p. 1-14, 2018Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0195906. Acesso em: 18 ago. 2024.
    • APA

      Guzman, G. E. C., Sato, J. R., Vidal, M. C., & Fujita, A. (2018). Identification of alterations associated with age in the clustering structure of functional brain networks. PLOS ONE, 13( 5 ), 1-14. doi:10.1371/journal.pone.0195906
    • NLM

      Guzman GEC, Sato JR, Vidal MC, Fujita A. Identification of alterations associated with age in the clustering structure of functional brain networks [Internet]. PLOS ONE. 2018 ; 13( 5 ): 1-14.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1371/journal.pone.0195906
    • Vancouver

      Guzman GEC, Sato JR, Vidal MC, Fujita A. Identification of alterations associated with age in the clustering structure of functional brain networks [Internet]. PLOS ONE. 2018 ; 13( 5 ): 1-14.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1371/journal.pone.0195906
  • Source: PLOS ONE. Unidades: IME, FO, IQ, FM

    Subjects: BIOINFORMÁTICA, NEOPLASIAS

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      LOBBA, Aline Ramos Maia et al. High CD90 (THY-1) expression positively correlates with cell transformation and worse prognosis in basal-like breast cancer tumors. PLOS ONE, v. 13, n. 6, p. 1-21, 2018Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0199254. Acesso em: 18 ago. 2024.
    • APA

      Lobba, A. R. M., Carreira, A. C. O., Cerqueira, O. L. D., Fujita, A., DeOcesano-Pereira, C., Osorio, C. A. B., et al. (2018). High CD90 (THY-1) expression positively correlates with cell transformation and worse prognosis in basal-like breast cancer tumors. PLOS ONE, 13( 6), 1-21. doi:10.1371/journal.pone.0199254
    • NLM

      Lobba ARM, Carreira ACO, Cerqueira OLD, Fujita A, DeOcesano-Pereira C, Osorio CAB, Soares FA, Rameshwar P, Sogayar MC. High CD90 (THY-1) expression positively correlates with cell transformation and worse prognosis in basal-like breast cancer tumors [Internet]. PLOS ONE. 2018 ; 13( 6): 1-21.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1371/journal.pone.0199254
    • Vancouver

      Lobba ARM, Carreira ACO, Cerqueira OLD, Fujita A, DeOcesano-Pereira C, Osorio CAB, Soares FA, Rameshwar P, Sogayar MC. High CD90 (THY-1) expression positively correlates with cell transformation and worse prognosis in basal-like breast cancer tumors [Internet]. PLOS ONE. 2018 ; 13( 6): 1-21.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1371/journal.pone.0199254
  • Source: PLOS ONE. Unidades: FM, IME

    Assunto: BIOINFORMÁTICA

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      BANDO, Sílvia Yumi et al. A hemolytic-uremic syndrome-associated strain O113:H21 Shiga toxin-producing Escherichia coli specifically expresses a transcriptional module containing dicA and is related to gene network dysregulation in Caco-2 cells. PLOS ONE, v. 12, n. 12, p. 1-28, 2017Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0189613. Acesso em: 18 ago. 2024.
    • APA

      Bando, S. Y., Iamashita, P., Guth, B. E. C., Santos, L. F., Fujita, A., Abe, C. M., et al. (2017). A hemolytic-uremic syndrome-associated strain O113:H21 Shiga toxin-producing Escherichia coli specifically expresses a transcriptional module containing dicA and is related to gene network dysregulation in Caco-2 cells. PLOS ONE, 12( 12), 1-28. doi:10.1371/journal.pone.0189613
    • NLM

      Bando SY, Iamashita P, Guth BEC, Santos LF, Fujita A, Abe CM, Ferreira LR, Moreira-Filho CA. A hemolytic-uremic syndrome-associated strain O113:H21 Shiga toxin-producing Escherichia coli specifically expresses a transcriptional module containing dicA and is related to gene network dysregulation in Caco-2 cells [Internet]. PLOS ONE. 2017 ; 12( 12): 1-28.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1371/journal.pone.0189613
    • Vancouver

      Bando SY, Iamashita P, Guth BEC, Santos LF, Fujita A, Abe CM, Ferreira LR, Moreira-Filho CA. A hemolytic-uremic syndrome-associated strain O113:H21 Shiga toxin-producing Escherichia coli specifically expresses a transcriptional module containing dicA and is related to gene network dysregulation in Caco-2 cells [Internet]. PLOS ONE. 2017 ; 12( 12): 1-28.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1371/journal.pone.0189613
  • Source: PLOS ONE. Unidades: FM, IME

    Subjects: EXPRESSÃO GÊNICA, TEORIA DA INFORMAÇÃO, REGULAÇÃO GÊNICA

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    • 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: 18 ago. 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 ago. 18 ] 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 ago. 18 ] Available from: https://doi.org/10.1371/journal.pone.0135831
  • Source: PLOS ONE. Unidades: FM, IME

    Subjects: REGULAÇÃO GÊNICA, ANGIOTENSINA II, GLIOMA, ESTATÍSTICA COMPUTACIONAL

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      AZEVEDO, Hátylas et al. Transcriptional network analysis reveals that AT1 and AT2 angiotensin II receptors are both involved in the regulation of genes essential for glioma progression. PLOS ONE, v. 9, n. 11, p. 1-17, 2014Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0110934. Acesso em: 18 ago. 2024.
    • APA

      Azevedo, H., Fujita, A., Bando, S. Y., Iamashita, P., & Moreira-Filho, C. A. (2014). Transcriptional network analysis reveals that AT1 and AT2 angiotensin II receptors are both involved in the regulation of genes essential for glioma progression. PLOS ONE, 9( 11), 1-17. doi:10.1371/journal.pone.0110934
    • NLM

      Azevedo H, Fujita A, Bando SY, Iamashita P, Moreira-Filho CA. Transcriptional network analysis reveals that AT1 and AT2 angiotensin II receptors are both involved in the regulation of genes essential for glioma progression [Internet]. PLOS ONE. 2014 ; 9( 11): 1-17.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1371/journal.pone.0110934
    • Vancouver

      Azevedo H, Fujita A, Bando SY, Iamashita P, Moreira-Filho CA. Transcriptional network analysis reveals that AT1 and AT2 angiotensin II receptors are both involved in the regulation of genes essential for glioma progression [Internet]. PLOS ONE. 2014 ; 9( 11): 1-17.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1371/journal.pone.0110934
  • Source: PLOS ONE. Unidades: IME, ICB

    Subjects: BIOINFORMÁTICA, ESTATÍSTICA COMPUTACIONAL, MOSQUITOS, EPIDEMIOLOGIA, HÁBITO ALIMENTAR ANIMAL

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      MIRANDA, Ceres Maciel de et al. Evans blue as a simple method to discriminate mosquitoes’ feeding choice on small laboratory animals. PLOS ONE, v. 9, n. 10, p. 1-12, 2014Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0110551. Acesso em: 18 ago. 2024.
    • APA

      Miranda, C. M. de, Fujita, A., Gueroni, D. I., Ramos, A. D., Capurro, M. de L., & Nunes, A. de S. (2014). Evans blue as a simple method to discriminate mosquitoes’ feeding choice on small laboratory animals. PLOS ONE, 9( 10), 1-12. doi:10.1371/journal.pone.0110551
    • NLM

      Miranda CM de, Fujita A, Gueroni DI, Ramos AD, Capurro M de L, Nunes A de S. Evans blue as a simple method to discriminate mosquitoes’ feeding choice on small laboratory animals [Internet]. PLOS ONE. 2014 ; 9( 10): 1-12.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1371/journal.pone.0110551
    • Vancouver

      Miranda CM de, Fujita A, Gueroni DI, Ramos AD, Capurro M de L, Nunes A de S. Evans blue as a simple method to discriminate mosquitoes’ feeding choice on small laboratory animals [Internet]. PLOS ONE. 2014 ; 9( 10): 1-12.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1371/journal.pone.0110551
  • Source: PLOS ONE. Unidades: IME, ICB, FMVZ, BIOINFORMÁTICA

    Subjects: RICKETTSIACEAE, CARRAPATOS, TRANSCRIÇÃO GÊNICA

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      GALLETTI, Maria Fernanda Bandeira de Melo et al. Natural blood feeding and temperature shift modulate the global transcriptional profile of Rickettsia rickettsii infecting its tick vector. PLOS ONE, v. 8, n. 10, p. 1-12, 2013Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0077388. Acesso em: 18 ago. 2024.
    • APA

      Galletti, M. F. B. de M., Fujita, A., Nishiyama Junior, M. Y., Malossi, C. D., Pinter, A., Soares, J. F., et al. (2013). Natural blood feeding and temperature shift modulate the global transcriptional profile of Rickettsia rickettsii infecting its tick vector. PLOS ONE, 8( 10), 1-12. doi:10.1371/journal.pone.0077388
    • NLM

      Galletti MFB de M, Fujita A, Nishiyama Junior MY, Malossi CD, Pinter A, Soares JF, Daffre S, Labruna MB, Fogaça AC. Natural blood feeding and temperature shift modulate the global transcriptional profile of Rickettsia rickettsii infecting its tick vector [Internet]. PLOS ONE. 2013 ; 8( 10): 1-12.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1371/journal.pone.0077388
    • Vancouver

      Galletti MFB de M, Fujita A, Nishiyama Junior MY, Malossi CD, Pinter A, Soares JF, Daffre S, Labruna MB, Fogaça AC. Natural blood feeding and temperature shift modulate the global transcriptional profile of Rickettsia rickettsii infecting its tick vector [Internet]. PLOS ONE. 2013 ; 8( 10): 1-12.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1371/journal.pone.0077388
  • Source: PLOS ONE. Unidade: IME

    Assunto: COMBINATÓRIA

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      TAKAHASHI, Daniel Yasumasa et al. Discriminating different classes of biological networks by analyzing the graphs spectra distribution. PLOS ONE, v. 7, n. 12, p. 1-12, 2012Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0049949. Acesso em: 18 ago. 2024.
    • APA

      Takahashi, D. Y., Sato, J. R., Ferreira, C. E., & Fujita, A. (2012). Discriminating different classes of biological networks by analyzing the graphs spectra distribution. PLOS ONE, 7( 12), 1-12. doi:10.1371/journal.pone.0049949
    • NLM

      Takahashi DY, Sato JR, Ferreira CE, Fujita A. Discriminating different classes of biological networks by analyzing the graphs spectra distribution [Internet]. PLOS ONE. 2012 ; 7( 12): 1-12.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1371/journal.pone.0049949
    • Vancouver

      Takahashi DY, Sato JR, Ferreira CE, Fujita A. Discriminating different classes of biological networks by analyzing the graphs spectra distribution [Internet]. PLOS ONE. 2012 ; 7( 12): 1-12.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1371/journal.pone.0049949

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