Filtros : "BIOINFORMÁTICA" "FUJITA, ANDRÉ" "IME" Removidos: "1967" "IP" Limpar

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  • Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidades: IME, BIOINFORMÁTICA

    Subjects: BIOINFORMÁTICA, REDES COMPLEXAS

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      VILLELA, Victor Chavauty e LIRA, Eduardo Silva e FUJITA, André. Spectrum-based statistical methods for directed graphs with applications in biological data. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-42715-2_5. Acesso em: 12 out. 2024.
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      Villela, V. C., Lira, E. S., & Fujita, A. (2023). Spectrum-based statistical methods for directed graphs with applications in biological data. In . Cham: Springer. doi:10.1007/978-3-031-42715-2_5
    • NLM

      Villela VC, Lira ES, Fujita A. Spectrum-based statistical methods for directed graphs with applications in biological data [Internet]. 2023 ;[citado 2024 out. 12 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_5
    • Vancouver

      Villela VC, Lira ES, Fujita A. Spectrum-based statistical methods for directed graphs with applications in biological data [Internet]. 2023 ;[citado 2024 out. 12 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_5
  • Source: Journal of Bioinformatics and Computational Biology. Unidade: IME

    Subjects: BIOINFORMÁTICA, NEOPLASIAS PULMONARES, MODELOS PARA PROCESSOS ESTOCÁSTICOS

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      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: 12 out. 2024.
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      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. 12 ] 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. 12 ] Available from: https://doi.org/10.1142/S0219720023500191
  • Source: American Journal of Psychiatry. Unidades: IME, FM

    Subjects: BIOINFORMÁTICA, TRANSTORNO DO DEFICIT DE ATENÇÃO COM HIPERATIVIDADE, TRANSTORNO AUTÍSTICO

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      FARHAT, Luis C. et al. Networks of neurodevelopmental traits, socioenvironmental factors, emotional dysregulation in childhood, and depressive symptoms across development in two U.K. cohorts. American Journal of Psychiatry, v. 180, n. 10, p. 755-765, 2023Tradução . . Disponível em: https://doi.org/10.1176/appi.ajp.20220868. Acesso em: 12 out. 2024.
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      Farhat, L. C., Blakey, R., Davey Smith, G., Fujita, A., Shephard, E., Stergiakouli, E., et al. (2023). Networks of neurodevelopmental traits, socioenvironmental factors, emotional dysregulation in childhood, and depressive symptoms across development in two U.K. cohorts. American Journal of Psychiatry, 180( 10), 755-765. doi:10.1176/appi.ajp.20220868
    • NLM

      Farhat LC, Blakey R, Davey Smith G, Fujita A, Shephard E, Stergiakouli E, Eley TC, Thapar A, Polanczyk GV. Networks of neurodevelopmental traits, socioenvironmental factors, emotional dysregulation in childhood, and depressive symptoms across development in two U.K. cohorts [Internet]. American Journal of Psychiatry. 2023 ; 180( 10): 755-765.[citado 2024 out. 12 ] Available from: https://doi.org/10.1176/appi.ajp.20220868
    • Vancouver

      Farhat LC, Blakey R, Davey Smith G, Fujita A, Shephard E, Stergiakouli E, Eley TC, Thapar A, Polanczyk GV. Networks of neurodevelopmental traits, socioenvironmental factors, emotional dysregulation in childhood, and depressive symptoms across development in two U.K. cohorts [Internet]. American Journal of Psychiatry. 2023 ; 180( 10): 755-765.[citado 2024 out. 12 ] Available from: https://doi.org/10.1176/appi.ajp.20220868
  • Source: Clinical Epigenetics. Unidades: IME, FCF, IQ

    Subjects: GENOMAS, MELANOMA, BIOINFORMÁTICA

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      RIUS, Flávia Eichemberger et al. Genome-wide promoter methylation profling in a cellular model of melanoma progression reveals markers of malignancy and metastasis that predict melanoma survival. Clinical Epigenetics, v. 14, n. artigo 68, p. 1-20, 2022Tradução . . Disponível em: https://doi.org/10.1186/s13148-022-01291-x. Acesso em: 12 out. 2024.
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      Rius, F. E., Papaiz, D. D. 'A., Azevedo, H., Ayub, A. L. P., Pessoa, D. de O., Oliveira, T. F. de, et al. (2022). Genome-wide promoter methylation profling in a cellular model of melanoma progression reveals markers of malignancy and metastasis that predict melanoma survival. Clinical Epigenetics, 14( artigo 68), 1-20. doi:10.1186/s13148-022-01291-x
    • NLM

      Rius FE, Papaiz DD'A, Azevedo H, Ayub ALP, Pessoa D de O, Oliveira TF de, Loureiro AP de M, Andrade F, Fujita A, Reis EM, Mason CE, Jasiulionis MG. Genome-wide promoter methylation profling in a cellular model of melanoma progression reveals markers of malignancy and metastasis that predict melanoma survival [Internet]. Clinical Epigenetics. 2022 ; 14( artigo 68): 1-20.[citado 2024 out. 12 ] Available from: https://doi.org/10.1186/s13148-022-01291-x
    • Vancouver

      Rius FE, Papaiz DD'A, Azevedo H, Ayub ALP, Pessoa D de O, Oliveira TF de, Loureiro AP de M, Andrade F, Fujita A, Reis EM, Mason CE, Jasiulionis MG. Genome-wide promoter methylation profling in a cellular model of melanoma progression reveals markers of malignancy and metastasis that predict melanoma survival [Internet]. Clinical Epigenetics. 2022 ; 14( artigo 68): 1-20.[citado 2024 out. 12 ] Available from: https://doi.org/10.1186/s13148-022-01291-x
  • Source: Research Square. Unidade: IME

    Assunto: BIOINFORMÁTICA

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      FARFÁN, Carlos Enrique Paucar et al. Heart rate variability predicts the subject-driven cognitive states. Research Square, 2022Tradução . . Disponível em: https://doi.org/10.21203/rs.3.rs-1957712/v1. Acesso em: 12 out. 2024.
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      Farfán, C. E. P., Bruel, P., Goldman, A., Takahashi, D. Y., & Fujita, A. (2022). Heart rate variability predicts the subject-driven cognitive states. Research Square. doi:10.21203/rs.3.rs-1957712/v1
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      Farfán CEP, Bruel P, Goldman A, Takahashi DY, Fujita A. Heart rate variability predicts the subject-driven cognitive states [Internet]. Research Square. 2022 ;[citado 2024 out. 12 ] Available from: https://doi.org/10.21203/rs.3.rs-1957712/v1
    • Vancouver

      Farfán CEP, Bruel P, Goldman A, Takahashi DY, Fujita A. Heart rate variability predicts the subject-driven cognitive states [Internet]. Research Square. 2022 ;[citado 2024 out. 12 ] Available from: https://doi.org/10.21203/rs.3.rs-1957712/v1
  • Source: BMC Medical Genomics. Unidades: IME, FCF, BIOINFORMÁTICA

    Subjects: DIAGNÓSTICO PRÉ-NATAL, PATERNIDADE, BIOINFORMÁTICA, HAPLOTIPOS

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      WANG, Jaqueline Yu Ting et al. Noninvasive prenatal paternity determination using microhaplotypes: a pilot study. BMC Medical Genomics, v. 13, n. art. 157, p. 1-8, 2020Tradução . . Disponível em: https://doi.org/10.1186/s12920-020-00806-w. Acesso em: 12 out. 2024.
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      Wang, J. Y. T., Whittle, M. R., Puga, R. D., Yambartsev, A., Fujita, A., & Nakaya, H. T. I. (2020). Noninvasive prenatal paternity determination using microhaplotypes: a pilot study. BMC Medical Genomics, 13( art. 157), 1-8. doi:10.1186/s12920-020-00806-w
    • NLM

      Wang JYT, Whittle MR, Puga RD, Yambartsev A, Fujita A, Nakaya HTI. Noninvasive prenatal paternity determination using microhaplotypes: a pilot study [Internet]. BMC Medical Genomics. 2020 ; 13( art. 157): 1-8.[citado 2024 out. 12 ] Available from: https://doi.org/10.1186/s12920-020-00806-w
    • Vancouver

      Wang JYT, Whittle MR, Puga RD, Yambartsev A, Fujita A, Nakaya HTI. Noninvasive prenatal paternity determination using microhaplotypes: a pilot study [Internet]. BMC Medical Genomics. 2020 ; 13( art. 157): 1-8.[citado 2024 out. 12 ] Available from: https://doi.org/10.1186/s12920-020-00806-w
  • Source: Journal of Complex Networks. Unidades: IME, FM, EEFERP

    Subjects: INFERÊNCIA PARAMÉTRICA, BIOINFORMÁTICA

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      FUJITA, André et al. A semi-parametric statistical test to compare complex networks. Journal of Complex Networks, v. 8, n. 2, 2020Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnz028. Acesso em: 12 out. 2024.
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      Fujita, A., Lira, E. S., Santos, S. de S., Bando, S. Y., Soares, G. E., & Takahashi, D. Y. (2020). A semi-parametric statistical test to compare complex networks. Journal of Complex Networks, 8( 2). 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. 2020 ; 8( 2):[citado 2024 out. 12 ] Available from: https://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. 2020 ; 8( 2):[citado 2024 out. 12 ] Available from: https://doi.org/10.1093/comnet/cnz028
  • Source: Annals of Oncology. Conference titles: European Society for Medical Oncology Congress - ESMO. Unidades: IME, EEFE, FM, BIOINFORMÁTICA

    Assunto: BIOINFORMÁTICA

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      CASTRO JUNIOR, Gilberto de et al. Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer. Annals of Oncology. Amsterdam: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.annonc.2020.08.1460. Acesso em: 12 out. 2024. , 2020
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      Castro Junior, G. de, Neves, W. das, Borges, A. P. de S., Carvalho, V. J., Brum, P. C., & Fujita, A. (2020). Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer. Annals of Oncology. Amsterdam: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1016/j.annonc.2020.08.1460
    • NLM

      Castro Junior G de, Neves W das, Borges AP de S, Carvalho VJ, Brum PC, Fujita A. Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer [Internet]. Annals of Oncology. 2020 ; 31( supl. 4): S1047.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.annonc.2020.08.1460
    • Vancouver

      Castro Junior G de, Neves W das, Borges AP de S, Carvalho VJ, Brum PC, Fujita A. Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer [Internet]. Annals of Oncology. 2020 ; 31( supl. 4): S1047.[citado 2024 out. 12 ] Available from: https://doi.org/10.1016/j.annonc.2020.08.1460
  • Source: Networks in systems biology : applications for disease modeling. Unidades: IME, BIOINFORMÁTICA

    Assunto: BIOINFORMÁTICA

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      CARVALHO, Vinicius Jardim e MORENO, Camila Castro e FUJITA, André. Computational tools for comparing gene coexpression networks. Networks in systems biology : applications for disease modeling. Tradução . Cham: Springer, 2020. . Disponível em: https://doi.org/10.1007/978-3-030-51862-2_2. Acesso em: 12 out. 2024.
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      Carvalho, V. J., Moreno, C. C., & Fujita, A. (2020). Computational tools for comparing gene coexpression networks. In Networks in systems biology : applications for disease modeling. Cham: Springer. doi:10.1007/978-3-030-51862-2_2
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      Carvalho VJ, Moreno CC, Fujita A. Computational tools for comparing gene coexpression networks [Internet]. In: Networks in systems biology : applications for disease modeling. Cham: Springer; 2020. [citado 2024 out. 12 ] Available from: https://doi.org/10.1007/978-3-030-51862-2_2
    • Vancouver

      Carvalho VJ, Moreno CC, Fujita A. Computational tools for comparing gene coexpression networks [Internet]. In: Networks in systems biology : applications for disease modeling. Cham: Springer; 2020. [citado 2024 out. 12 ] Available from: https://doi.org/10.1007/978-3-030-51862-2_2
  • Source: Precision medicine for investigators, practitioners and providers. Unidade: IME

    Subjects: DIAGNÓSTICO POR COMPUTADOR, BIOINFORMÁTICA, PSIQUIATRIA, ENTROPIA

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      CASTRO GUZMAN, Grover Enrique et al. Network analysis of neuropsychiatry disorders. Precision medicine for investigators, practitioners and providers. Tradução . San Diego: Elsevier, 2020. . Disponível em: https://doi.org/10.1016/B978-0-12-819178-1.00039-3. Acesso em: 12 out. 2024.
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      Castro Guzman, G. E., Balardin, J. B., Biazoli Junior, C. E., Sato, J. R., & Fujita, A. (2020). 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
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      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; 2020. [citado 2024 out. 12 ] 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; 2020. [citado 2024 out. 12 ] Available from: https://doi.org/10.1016/B978-0-12-819178-1.00039-3
  • Source: BMC Research Notes. Unidades: IME, EP, IQ, BIOTECNOLOGIA, FM

    Subjects: BIOINFORMÁTICA, PROLIFERAÇÃO CELULAR

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      PEREIRA, Túlio Felipe et al. Fluorescence-based method is more accurate than counting-based methods for plotting growth curves of adherent cells. BMC Research Notes, v. 13, n. 1, p. 1-7, 2020Tradução . . Disponível em: https://doi.org/10.1186/s13104-020-4914-8. Acesso em: 12 out. 2024.
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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.[citado 2024 out. 12 ] Available from: https://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.[citado 2024 out. 12 ] Available from: https://doi.org/10.1186/s13104-020-4914-8
  • Source: Genetics and Molecular Biology. Unidades: IME, BIOINFORMÁTICA

    Subjects: BIOINFORMÁTICA, NEOPLASIAS, ANÁLISE DE SOBREVIVÊNCIA

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      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: 12 out. 2024.
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      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
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      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. 12 ] 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. 12 ] Available from: https://doi.org/10.1590/1678-4685-gmb-2018-0269
  • Source: Frontiers in Genetics. Unidades: IME, IB, BIOINFORMÁTICA

    Assunto: BIOINFORMÁTICA

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      JARDIM, Vinícius Carvalho et al. BioNetStat: a tool for biological networks differential analysis. Frontiers in Genetics, v. 10, 2019Tradução . . Disponível em: https://doi.org/10.3389/fgene.2019.00594. Acesso em: 12 out. 2024.
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      Jardim, V. C., Santos, S. de S., Fujita, A., & Buckeridge, M. (2019). BioNetStat: a tool for biological networks differential analysis. Frontiers in Genetics, 10. doi:10.3389/fgene.2019.00594
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      Jardim VC, Santos S de S, Fujita A, Buckeridge M. BioNetStat: a tool for biological networks differential analysis [Internet]. Frontiers in Genetics. 2019 ; 10[citado 2024 out. 12 ] Available from: https://doi.org/10.3389/fgene.2019.00594
    • Vancouver

      Jardim VC, Santos S de S, Fujita A, Buckeridge M. BioNetStat: a tool for biological networks differential analysis [Internet]. Frontiers in Genetics. 2019 ; 10[citado 2024 out. 12 ] Available from: https://doi.org/10.3389/fgene.2019.00594
  • Source: Molecular Oncology. Unidade: IME

    Assunto: BIOINFORMÁTICA

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      MONTEIRO, Ana Carolina et al. Gene expression and promoter methylation of angiogenic and lymphangiogenic factors as prognostic markers in melanoma. Molecular Oncology, v. 13, p. 1433-1449, 2019Tradução . . Disponível em: https://doi.org/10.1002/1878-0261.12501. Acesso em: 12 out. 2024.
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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
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      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.[citado 2024 out. 12 ] Available from: https://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.[citado 2024 out. 12 ] Available from: https://doi.org/10.1002/1878-0261.12501
  • Source: Scientific Reports. Unidades: IME, IQ, FM

    Assunto: BIOINFORMÁTICA

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      MACHADO, Raquel Arminda Carvalho et al. CHD7 promotes glioblastoma cell motility and invasiveness through transcriptional modulation of an invasion signature. Scientific Reports, v. 9, p. 1-13 art. 3952, 2019Tradução . . Disponível em: https://doi.org/10.1038/s41598-019-39564-w. Acesso em: 12 out. 2024.
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      Machado, R. A. C., Schneider, H., DeOcesano-Pereira, C., 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, DeOcesano-Pereira C, 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.[citado 2024 out. 12 ] Available from: https://doi.org/10.1038/s41598-019-39564-w
    • Vancouver

      Machado RAC, Schneider H, DeOcesano-Pereira C, 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.[citado 2024 out. 12 ] Available from: https://doi.org/10.1038/s41598-019-39564-w
  • Source: Frontiers in Physiology. Unidades: IME, ICB, FMVZ

    Subjects: BIOINFORMÁTICA, PARASITOLOGIA, CARRAPATOS, FEBRE MACULOSA

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      MARTINS, Larissa Almeida 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, v. 10, p. 1-13, 2019Tradução . . Disponível em: https://doi.org/10.3389/fphys.2019.00529. Acesso em: 12 out. 2024.
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      Martins, L. A., Malossi, C. D., Galletti, M. F. B. de M., Ribeiro, J. M. C., Fujita, A., Esteves, E. V. da S., 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
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      Martins LA, Malossi CD, Galletti MFB de M, Ribeiro JMC, Fujita A, Esteves EV da S, 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.[citado 2024 out. 12 ] Available from: https://doi.org/10.3389/fphys.2019.00529
    • Vancouver

      Martins LA, Malossi CD, Galletti MFB de M, Ribeiro JMC, Fujita A, Esteves EV da S, 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.[citado 2024 out. 12 ] Available from: https://doi.org/10.3389/fphys.2019.00529
  • Source: Cancer Research. Conference titles: Annual Meeting of the American Association for Cancer Research. Unidade: IME

    Subjects: MELANOMA, BIOINFORMÁTICA

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      CRUZ , Adriana T et al. miR-142-3p as a regulator of RAC1 and a prognostic factor in melanoma. Cancer Research. Philadelphia: American Association for Cancer Research. Disponível em: https://doi.org/10.1158/1538-7445.AM2019-2779. Acesso em: 12 out. 2024. , 2019
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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 .[citado 2024 out. 12 ] 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 .[citado 2024 out. 12 ] Available from: https://doi.org/10.1158/1538-7445.AM2019-2779
  • Source: Frontiers in Systems Neuroscience. Unidade: IME

    Subjects: TRANSTORNOS COGNITIVOS, BIOINFORMÁTICA

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      RAMOS, Taiane Coelho et al. Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder. Frontiers in Systems Neuroscience, v. 12, 2019Tradução . . Disponível em: https://doi.org/10.3389/fnsys.2018.00074. Acesso em: 12 out. 2024.
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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, 12. doi:10.3389/fnsys.2018.00074
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      Ramos TC, Balardin JB, Sato JR, Fujita A. Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder [Internet]. Frontiers in Systems Neuroscience. 2019 ; 12[citado 2024 out. 12 ] Available from: https://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 ; 12[citado 2024 out. 12 ] Available from: https://doi.org/10.3389/fnsys.2018.00074
  • Source: Theoretical and applied aspects of systems biology. Unidade: IME

    Subjects: BIOINFORMÁTICA, BIOESTATÍSTICA

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      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: 12 out. 2024.
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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. [citado 2024 out. 12 ] 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 out. 12 ] Available from: https://doi.org/10.1007/978-3-319-74974-7_6
  • Source: PLOS ONE. Unidade: IME

    Assunto: BIOINFORMÁTICA

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      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: 12 out. 2024.
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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.[citado 2024 out. 12 ] 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 out. 12 ] Available from: https://doi.org/10.1371/journal.pone.0195906

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