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  • Unidade: IME

    Subjects: Ciência Da Computação

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      SANTOS, Suzana de Siqueira; FUJITA, André. Estimadores de parâmetro consistentes para modelos de grafo aleatório e estudo sobre a relação entre a rede modo padrão do cérebro e o volume do corpo caloso. 2020.Universidade de São Paulo, São Paulo, 2020. Disponível em: < https://www.teses.usp.br/teses/disponiveis/45/45134/tde-16032020-111145/ >.
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      Santos, S. de S., & Fujita, A. (2020). Estimadores de parâmetro consistentes para modelos de grafo aleatório e estudo sobre a relação entre a rede modo padrão do cérebro e o volume do corpo caloso. Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/45/45134/tde-16032020-111145/
    • NLM

      Santos S de S, Fujita A. Estimadores de parâmetro consistentes para modelos de grafo aleatório e estudo sobre a relação entre a rede modo padrão do cérebro e o volume do corpo caloso [Internet]. 2020 ;Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-16032020-111145/
    • Vancouver

      Santos S de S, Fujita A. Estimadores de parâmetro consistentes para modelos de grafo aleatório e estudo sobre a relação entre a rede modo padrão do cérebro e o volume do corpo caloso [Internet]. 2020 ;Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-16032020-111145/
  • In: International Journal of Environmental Research and Public Health. Unidade: IME

    Subjects: Adolescentes, Teoria Dos Grafos

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      OKU, Amanda Yumi Ambriola; MORAIS, Guilherme Augusto Zimeo; BUENO, Ana Paula Arantes; FUJITA, André; SATO, João Ricardo. 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, Basel, MDPI, v. 17, n. 1, p. 1-10, 2020. Disponível em: < http://dx.doi.org/10.3390/ijerph17010090 > DOI: 10.3390/ijerph17010090.
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      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
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      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.Available from: http://dx.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.Available from: http://dx.doi.org/10.3390/ijerph17010090
  • In: BMC Research Notes. Unidades: IME, EP, IQ, BIOTECNOLOGIA, FM

    Subjects: Bioinformática, Proliferação Celular

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      PEREIRA, Túlio Felipe; LEVIN, Gabriel; DEOCESANO-PEREIRA, Carlos; et al. Fluorescence-based method is more accurate than counting-based methods for plotting growth curves of adherent cells. BMC Research Notes, London, BMC, v. 13, n. 1, p. 1-7, 2020. Disponível em: < http://dx.doi.org/10.1186/s13104-020-4914-8 > DOI: 10.1186/s13104-020-4914-8.
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      Pereira, T. F., Levin, G., DeOcesano-Pereira, C., Caodaglio, A. S., Fujita, A., Tonso, A., & Sogayar, M. C. (2020). Fluorescence-based method is more accurate than counting-based methods for plotting growth curves of adherent cells. BMC Research Notes, 13( 1), 1-7. doi:10.1186/s13104-020-4914-8
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      Pereira TF, Levin G, DeOcesano-Pereira C, Caodaglio AS, Fujita A, Tonso A, Sogayar MC. Fluorescence-based method is more accurate than counting-based methods for plotting growth curves of adherent cells [Internet]. BMC Research Notes. 2020 ;13( 1): 1-7.Available from: http://dx.doi.org/10.1186/s13104-020-4914-8
    • Vancouver

      Pereira TF, Levin G, DeOcesano-Pereira C, Caodaglio AS, Fujita A, Tonso A, Sogayar MC. Fluorescence-based method is more accurate than counting-based methods for plotting growth curves of adherent cells [Internet]. BMC Research Notes. 2020 ;13( 1): 1-7.Available from: http://dx.doi.org/10.1186/s13104-020-4914-8
  • In: Journal of Complex Networks. Unidades: IME, FM, EEFERP

    Subjects: Inferência Paramétrica, Bioinformática

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      FUJITA, André; LIRA, Eduardo Silva; SANTOS, Suzana de Siqueira; et al. A semi-parametric statistical test to compare complex networks. Journal of Complex Networks, Oxford, Oxford University Press (OUP), 2019. Disponível em: < http://dx.doi.org/10.1093/comnet/cnz028 > DOI: 10.1093/comnet/cnz028.
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      Fujita, A., Lira, E. S., Santos, S. de S., Bando, S. Y., Soares, G. E., & Takahashi, D. Y. (2019). A semi-parametric statistical test to compare complex networks. Journal of Complex Networks. doi:10.1093/comnet/cnz028
    • NLM

      Fujita A, Lira ES, Santos S de S, Bando SY, Soares GE, Takahashi DY. A semi-parametric statistical test to compare complex networks [Internet]. Journal of Complex Networks. 2019 ;Available from: http://dx.doi.org/10.1093/comnet/cnz028
    • Vancouver

      Fujita A, Lira ES, Santos S de S, Bando SY, Soares GE, Takahashi DY. A semi-parametric statistical test to compare complex networks [Internet]. Journal of Complex Networks. 2019 ;Available from: http://dx.doi.org/10.1093/comnet/cnz028
  • In: Molecular Oncology. Unidade: IME

    Subjects: Bioinformática

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      MONTEIRO, Ana Carolina; MUENZNER, Julienne Kathrin; ANDRADE, Fernando; et al. Gene expression and promoter methylation of angiogenic and lymphangiogenic factors as prognostic markers in melanoma. Molecular Oncology, Amsterdam, Wiley, v. 13, p. 1433-1449, 2019. Disponível em: < http://dx.doi.org/10.1002/1878-0261.12501 > DOI: 10.1002/1878-0261.12501.
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      Monteiro, A. C., Muenzner, J. K., Andrade, F., Rius, F. E., Ostalecki, C., Geppert, C. I., et al. (2019). Gene expression and promoter methylation of angiogenic and lymphangiogenic factors as prognostic markers in melanoma. Molecular Oncology, 13, 1433-1449. doi:10.1002/1878-0261.12501
    • NLM

      Monteiro AC, Muenzner JK, Andrade F, Rius FE, Ostalecki C, Geppert CI, Agaimy A, Hartmann A, Fujita A, Schneider‐Stock R, Jasiulionis MG. Gene expression and promoter methylation of angiogenic and lymphangiogenic factors as prognostic markers in melanoma [Internet]. Molecular Oncology. 2019 ; 13 1433-1449.Available from: http://dx.doi.org/10.1002/1878-0261.12501
    • Vancouver

      Monteiro AC, Muenzner JK, Andrade F, Rius FE, Ostalecki C, Geppert CI, Agaimy A, Hartmann A, Fujita A, Schneider‐Stock R, Jasiulionis MG. Gene expression and promoter methylation of angiogenic and lymphangiogenic factors as prognostic markers in melanoma [Internet]. Molecular Oncology. 2019 ; 13 1433-1449.Available from: http://dx.doi.org/10.1002/1878-0261.12501
  • In: Precision medicine for investigators, practitioners and providers. Unidade: IME

    Subjects: Diagnóstico Por Computador, Bioinformática, Psiquiatria, Entropia

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      CASTRO GUZMAN, Grover Enrique; BALARDIN, Joana Bisol; BIAZOLI JUNIOR, Claudinei Eduardo; SATO, João Ricardo; FUJITA, André. Network analysis of neuropsychiatry disorders. In: Precision medicine for investigators, practitioners and providers[S.l: s.n.], 2019.Disponível em: DOI: 10.1016/B978-0-12-819178-1.00039-3.
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      Castro Guzman, G. E., Balardin, J. B., Biazoli Junior, C. E., Sato, J. R., & Fujita, A. (2019). Network analysis of neuropsychiatry disorders. In Precision medicine for investigators, practitioners and providers. San Diego: Elsevier. doi:10.1016/B978-0-12-819178-1.00039-3
    • NLM

      Castro Guzman GE, Balardin JB, Biazoli Junior CE, Sato JR, Fujita A. Network analysis of neuropsychiatry disorders [Internet]. In: Precision medicine for investigators, practitioners and providers. San Diego: Elsevier; 2019. Available from: https://doi.org/10.1016/B978-0-12-819178-1.00039-3
    • Vancouver

      Castro Guzman GE, Balardin JB, Biazoli Junior CE, Sato JR, Fujita A. Network analysis of neuropsychiatry disorders [Internet]. In: Precision medicine for investigators, practitioners and providers. San Diego: Elsevier; 2019. Available from: https://doi.org/10.1016/B978-0-12-819178-1.00039-3
  • In: Scientific Reports. Unidades: IME, IQ, FM

    Subjects: Bioinformática

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      MACHADO, Raquel Arminda Carvalho; SCHNEIDER, Hannah; PEREIRA, Carlos De Ocesano; et al. CHD7 promotes glioblastoma cell motility and invasiveness through transcriptional modulation of an invasion signature. Scientific Reports, London, Springer, v. 9, p. 1-13 art. 3952, 2019. Disponível em: < http://dx.doi.org/10.1038/s41598-019-39564-w > DOI: 10.1038/s41598-019-39564-w.
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      Machado, R. A. C., Schneider, H., Pereira, C. D. O., Lichtenstein, F., Andrade, F., Fujita, A., et al. (2019). CHD7 promotes glioblastoma cell motility and invasiveness through transcriptional modulation of an invasion signature. Scientific Reports, 9, 1-13 art. 3952. doi:10.1038/s41598-019-39564-w
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      Machado RAC, Schneider H, Pereira CDO, Lichtenstein F, Andrade F, Fujita A, Lima MT, Weller M, Bowman-Colin C, Sogayar MC. CHD7 promotes glioblastoma cell motility and invasiveness through transcriptional modulation of an invasion signature [Internet]. Scientific Reports. 2019 ; 9 1-13 art. 3952.Available from: http://dx.doi.org/10.1038/s41598-019-39564-w
    • Vancouver

      Machado RAC, Schneider H, Pereira CDO, Lichtenstein F, Andrade F, Fujita A, Lima MT, Weller M, Bowman-Colin C, Sogayar MC. CHD7 promotes glioblastoma cell motility and invasiveness through transcriptional modulation of an invasion signature [Internet]. Scientific Reports. 2019 ; 9 1-13 art. 3952.Available from: http://dx.doi.org/10.1038/s41598-019-39564-w
  • In: Frontiers in Genetics. Unidades: IME, IB, BIOINFORMÁTICA

    Subjects: Bioinformática

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      JARDIM, Vinícius Carvalho; SANTOS, Suzana de Siqueira; FUJITA, André; BUCKERIDGE, Marcos Silveira. BioNetStat: a tool for biological networks differential analysis. Frontiers in Genetics, Lausanne, Frontiers Media, 2019. Disponível em: < http://dx.doi.org/10.3389/fgene.2019.00594 > DOI: 10.3389/fgene.2019.00594.
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      Jardim, V. C., Santos, S. de S., Fujita, A., & Buckeridge, M. S. (2019). BioNetStat: a tool for biological networks differential analysis. Frontiers in Genetics. doi:10.3389/fgene.2019.00594
    • NLM

      Jardim VC, Santos S de S, Fujita A, Buckeridge MS. BioNetStat: a tool for biological networks differential analysis [Internet]. Frontiers in Genetics. 2019 ;Available from: http://dx.doi.org/10.3389/fgene.2019.00594
    • Vancouver

      Jardim VC, Santos S de S, Fujita A, Buckeridge MS. BioNetStat: a tool for biological networks differential analysis [Internet]. Frontiers in Genetics. 2019 ;Available from: http://dx.doi.org/10.3389/fgene.2019.00594
  • In: BioEnergy Research. Unidades: IME, BIOENERGIA

    Subjects: Modelagem De Dados

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      YANCY-CABALLERO, Daison; LING, Liu Yi; FUJITA, André; FERREIRA, João Eduardo; DRIEMEIER, Carlos. Intraparticle connectivity in sugarcane bagasse unveiled by pore network modeling. BioEnergy Research, New York, Springer, v. 12, n. 3, p. 546-557, 2019. Disponível em: < http://dx.doi.org/10.1007/s12155-019-09993-6 > DOI: 10.1007/s12155-019-09993-6.
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      Yancy-Caballero, D., Ling, L. Y., Fujita, A., Ferreira, J. E., & Driemeier, C. (2019). Intraparticle connectivity in sugarcane bagasse unveiled by pore network modeling. BioEnergy Research, 12( 3), 546-557. doi:10.1007/s12155-019-09993-6
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      Yancy-Caballero D, Ling LY, Fujita A, Ferreira JE, Driemeier C. Intraparticle connectivity in sugarcane bagasse unveiled by pore network modeling [Internet]. BioEnergy Research. 2019 ; 12( 3): 546-557.Available from: http://dx.doi.org/10.1007/s12155-019-09993-6
    • Vancouver

      Yancy-Caballero D, Ling LY, Fujita A, Ferreira JE, Driemeier C. Intraparticle connectivity in sugarcane bagasse unveiled by pore network modeling [Internet]. BioEnergy Research. 2019 ; 12( 3): 546-557.Available from: http://dx.doi.org/10.1007/s12155-019-09993-6
  • In: Frontiers in Physiology. Unidades: IME, FMVZ, ICB

    Subjects: Bioinformática, Parasitologia, Carrapatos, Febre Maculosa

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      MARTINS, Larissa Almeida; MALOSSI, Camila Dantas; GALLETTI, Maria Fernanda Bandeira de Melo; et al. The transcriptome of the salivary glands of amblyomma aureolatum reveals the antimicrobial peptide microplusin as an important factor for the tick protection against rickettsia rickettsii infection. Frontiers in Physiology, Lausanne, Frontiers Media SA, v. 10, p. 1-13, 2019. Disponível em: < http://dx.doi.org/10.3389/fphys.2019.00529 > DOI: 10.3389/fphys.2019.00529.
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      Martins, L. A., Malossi, C. D., Galletti, M. F. B. de M., Ribeiro, J. M. C., Fujita, A., Esteves, E., et al. (2019). The transcriptome of the salivary glands of amblyomma aureolatum reveals the antimicrobial peptide microplusin as an important factor for the tick protection against rickettsia rickettsii infection. Frontiers in Physiology, 10, 1-13. doi:10.3389/fphys.2019.00529
    • NLM

      Martins LA, Malossi CD, Galletti MFB de M, Ribeiro JMC, Fujita A, Esteves E, Costa FB, Labruna MB, Daffre S, Fogaça AC. The transcriptome of the salivary glands of amblyomma aureolatum reveals the antimicrobial peptide microplusin as an important factor for the tick protection against rickettsia rickettsii infection [Internet]. Frontiers in Physiology. 2019 ;10 1-13.Available from: http://dx.doi.org/10.3389/fphys.2019.00529
    • Vancouver

      Martins LA, Malossi CD, Galletti MFB de M, Ribeiro JMC, Fujita A, Esteves E, Costa FB, Labruna MB, Daffre S, Fogaça AC. The transcriptome of the salivary glands of amblyomma aureolatum reveals the antimicrobial peptide microplusin as an important factor for the tick protection against rickettsia rickettsii infection [Internet]. Frontiers in Physiology. 2019 ;10 1-13.Available from: http://dx.doi.org/10.3389/fphys.2019.00529
  • In: Cancer Research. Conference title: Annual Meeting of the American Association for Cancer Research. Unidade: IME

    Subjects: Melanoma, Bioinformática

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      CRUZ , Adriana T; MORATA, Júlia A; MONTEIRO, Ana C; et al. miR-142-3p as a regulator of RAC1 and a prognostic factor in melanoma. Cancer Research[S.l: s.n.], 2019.Disponível em: DOI: 10.1158/1538-7445.AM2019-2779.
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      Cruz , A. T., Morata, J. A., Monteiro, A. C., Ayub, A. L. P., Soares, R. S., Fujita, A., et al. (2019). miR-142-3p as a regulator of RAC1 and a prognostic factor in melanoma. Cancer Research. Philadelphia: American Association for Cancer Research. doi:10.1158/1538-7445.AM2019-2779
    • NLM

      Cruz AT, Morata JA, Monteiro AC, Ayub ALP, Soares RS, Fujita A, Andrade F, Tron V, Jasiulionis MG. miR-142-3p as a regulator of RAC1 and a prognostic factor in melanoma [Internet]. Cancer Research. 2019 ; 79 1 .Available from: https://doi.org/10.1158/1538-7445.AM2019-2779
    • Vancouver

      Cruz AT, Morata JA, Monteiro AC, Ayub ALP, Soares RS, Fujita A, Andrade F, Tron V, Jasiulionis MG. miR-142-3p as a regulator of RAC1 and a prognostic factor in melanoma [Internet]. Cancer Research. 2019 ; 79 1 .Available from: https://doi.org/10.1158/1538-7445.AM2019-2779
  • In: Frontiers in Systems Neuroscience. Unidade: IME

    Subjects: Transtornos Cognitivos, Bioinformática

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      RAMOS, Taiane Coelho; BALARDIN, Joana Bisol; SATO, João Ricardo; FUJITA, André. Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder. Frontiers in Systems Neuroscience, Amsterdam, Frontiers, 2019. Disponível em: < http://dx.doi.org/10.3389/fnsys.2018.00074 > DOI: 10.3389/fnsys.2018.00074.
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      Ramos, T. C., Balardin, J. B., Sato, J. R., & Fujita, A. (2019). Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder. Frontiers in Systems Neuroscience. doi:10.3389/fnsys.2018.00074
    • NLM

      Ramos TC, Balardin JB, Sato JR, Fujita A. Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder [Internet]. Frontiers in Systems Neuroscience. 2019 ;Available from: http://dx.doi.org/10.3389/fnsys.2018.00074
    • Vancouver

      Ramos TC, Balardin JB, Sato JR, Fujita A. Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder [Internet]. Frontiers in Systems Neuroscience. 2019 ;Available from: http://dx.doi.org/10.3389/fnsys.2018.00074
  • In: Genetics and Molecular Biology. Unidades: IME, BIOINFORMÁTICA

    Subjects: Bioinformática, Neoplasias, Análise De Sobrevivência

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      ANDRADE, Fernando; NAKATA, Asuka; GOTOH, Noriko; FUJITA, André. Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancer. Genetics and Molecular Biology, Ribeirão Preto, Sociedade Brasileira de Genética, v. 43, n. 1, p. 1-11, 2019. Disponível em: < http://dx.doi.org/10.1590/1678-4685-gmb-2018-0269 > DOI: 10.1590/1678-4685-gmb-2018-0269.
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      Andrade, F., Nakata, A., Gotoh, N., & Fujita, A. (2019). 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. 2019 ; 43( 1): 1-11.Available from: http://dx.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. 2019 ; 43( 1): 1-11.Available from: http://dx.doi.org/10.1590/1678-4685-gmb-2018-0269
  • In: Microorganisms. Unidades: FM, IFSC, IME

    Subjects: Escherichia Coli, Expressão Gênica

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      BANDO, Sílvia Yumi; IAMASHITA, Priscila; SILVA, Filipi Nascimento; et al. Dynamic gene network analysis of caco-2 cell response to shiga toxin-producing Escherichia coli-associated hemolytic-uremic syndrome. Microorganisms, Basel, MDPI, v. 7, n. 7, p. 195-1-195-23, 2019. Disponível em: < http://dx.doi.org/10.3390/microorganisms7070195 > DOI: 10.3390/microorganisms7070195.
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      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.Available from: http://dx.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.Available from: http://dx.doi.org/10.3390/microorganisms7070195
  • In: Theoretical and applied aspects of systems biology. Unidade: IME

    Subjects: Bioinformática, Bioestatística

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      PATRIOTA, Alexandre Galvão; VIDAL, Maciel Calebe; JESUS, Davi Augusto Caetano de; FUJITA, André. ANOCVA: a nonparametric statistical test to compare clustering structures. In: Theoretical and applied aspects of systems biology[S.l: s.n.], 2018.Disponível em: DOI: 10.1007/978-3-319-74974-7_6.
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      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. 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. Available from: https://doi.org/10.1007/978-3-319-74974-7_6
  • In: PLOS ONE. Unidade: IME

    Subjects: Bioinformática

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      GUZMAN, Grover Enrique Castro; SATO, João Ricardo; VIDAL, Maciel Calebe; FUJITA, André. Identification of alterations associated with age in the clustering structure of functional brain networks. PLOS ONE, San Francisco, Public Library of Science (PLoS), v. 13, n. 5 , p. 1-14, 2018. Disponível em: < http://dx.doi.org/10.1371/journal.pone.0195906 > DOI: 10.1371/journal.pone.0195906.
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      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.Available from: http://dx.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.Available from: http://dx.doi.org/10.1371/journal.pone.0195906
  • Unidade: BIOINFORMÁTICA

    Subjects: Bioinformática, Redes E Comunicação De Dados

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      CARVALHO, Vinícius Jardim; BUCKERIDGE, Marcos Silveira; FUJITA, André. BioNetStat: uma ferramenta para análise diferencial de redes biológicas. 2018.Universidade de São Paulo, São Paulo, 2018. Disponível em: < http://www.teses.usp.br/teses/disponiveis/95/95131/tde-29042019-113152/ >.
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      Carvalho, V. J., Buckeridge, M. S., & Fujita, A. (2018). BioNetStat: uma ferramenta para análise diferencial de redes biológicas. Universidade de São Paulo, São Paulo. Recuperado de http://www.teses.usp.br/teses/disponiveis/95/95131/tde-29042019-113152/
    • NLM

      Carvalho VJ, Buckeridge MS, Fujita A. BioNetStat: uma ferramenta para análise diferencial de redes biológicas [Internet]. 2018 ;Available from: http://www.teses.usp.br/teses/disponiveis/95/95131/tde-29042019-113152/
    • Vancouver

      Carvalho VJ, Buckeridge MS, Fujita A. BioNetStat: uma ferramenta para análise diferencial de redes biológicas [Internet]. 2018 ;Available from: http://www.teses.usp.br/teses/disponiveis/95/95131/tde-29042019-113152/
  • In: IEEE - ACM Transactions on Computational Biology and Bioinformatics. Unidade: IME

    Subjects: Bioinformática, Redes Complexas, Autismo

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    • ABNT

      SATO, João Ricardo; VIDAL, Maciel Calebe; SANTOS, Suzana de Siqueira; MASSIRER, Katlin Brauer; FUJITA, André. Complex network measures in autism spectrum disorders. IEEE - ACM Transactions on Computational Biology and Bioinformatics, New York, Association for Computing Machinery, v. 15, n. 2, p. 581 - 587, 2018. Disponível em: < http://dx.doi.org/10.1109/TCBB.2015.2476787 > DOI: 10.1109/TCBB.2015.2476787.
    • APA

      Sato, J. R., Vidal, M. C., Santos, S. de S., Massirer, K. B., & Fujita, A. (2018). Complex network measures in autism spectrum disorders. IEEE - ACM Transactions on Computational Biology and Bioinformatics, 15( 2), 581 - 587. doi:10.1109/TCBB.2015.2476787
    • NLM

      Sato JR, Vidal MC, Santos S de S, Massirer KB, Fujita A. Complex network measures in autism spectrum disorders [Internet]. IEEE - ACM Transactions on Computational Biology and Bioinformatics. 2018 ; 15( 2): 581 - 587.Available from: http://dx.doi.org/10.1109/TCBB.2015.2476787
    • Vancouver

      Sato JR, Vidal MC, Santos S de S, Massirer KB, Fujita A. Complex network measures in autism spectrum disorders [Internet]. IEEE - ACM Transactions on Computational Biology and Bioinformatics. 2018 ; 15( 2): 581 - 587.Available from: http://dx.doi.org/10.1109/TCBB.2015.2476787
  • In: Journal of Molecular Endocrinology. Unidades: IME, ICB

    Subjects: Diabetes Mellitus, Prolactina, Bioinformática

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    • ABNT

      NARDELLI, Tarlliza Romanna; VANZELA, Emerielle C.; BENEDICTO, Keli C.; et al. Prolactin protects against cytokine-induced beta-cell death by NFκB and JNK inhibition. Journal of Molecular Endocrinology, Bristol, Bioscientifica, v. 61, n. 1, p. 25-36, 2018. Disponível em: < https://doi.org/10.1530/JME-16-0257 > DOI: 10.1530/JME-16-0257.
    • APA

      Nardelli, T. R., Vanzela, E. C., Benedicto, K. C., Brozzi, F., Fujita, A., Cardozo, A. K., et al. (2018). Prolactin protects against cytokine-induced beta-cell death by NFκB and JNK inhibition. Journal of Molecular Endocrinology, 61( 1), 25-36. doi:10.1530/JME-16-0257
    • NLM

      Nardelli TR, Vanzela EC, Benedicto KC, Brozzi F, Fujita A, Cardozo AK, Eizirik DL, Boschero AC, Ortis F. Prolactin protects against cytokine-induced beta-cell death by NFκB and JNK inhibition [Internet]. Journal of Molecular Endocrinology. 2018 ; 61( 1): 25-36.Available from: https://doi.org/10.1530/JME-16-0257
    • Vancouver

      Nardelli TR, Vanzela EC, Benedicto KC, Brozzi F, Fujita A, Cardozo AK, Eizirik DL, Boschero AC, Ortis F. Prolactin protects against cytokine-induced beta-cell death by NFκB and JNK inhibition [Internet]. Journal of Molecular Endocrinology. 2018 ; 61( 1): 25-36.Available from: https://doi.org/10.1530/JME-16-0257
  • In: PLOS ONE. Unidades: IME, FO, IQ, FM

    Subjects: Bioinformática, Neoplasias

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    • ABNT

      LOBBA, Aline Ramos Maia; CARREIRA, Ana Claudia Oliveira; CERQUEIRA, Otto Luiz Dutra; et al. High CD90 (THY-1) expression positively correlates with cell transformation and worse prognosis in basal-like breast cancer tumors. PLOS ONE, San Francisco, Public Library of Science (PLoS), v. 13, n. 6, p. 1-21, 2018. Disponível em: < http://dx.doi.org/10.1371/journal.pone.0199254 > DOI: 10.1371/journal.pone.0199254.
    • APA

      Lobba, A. R. M., Carreira, A. C. O., Cerqueira, O. L. D., Fujita, A., Pereira, C. D. O., 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, Pereira CDO, 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.Available from: http://dx.doi.org/10.1371/journal.pone.0199254
    • Vancouver

      Lobba ARM, Carreira ACO, Cerqueira OLD, Fujita A, Pereira CDO, 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.Available from: http://dx.doi.org/10.1371/journal.pone.0199254


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