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  • Source: Pattern Recognition Letters. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, COMPUTAÇÃO GRÁFICA

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      SILVA, Dennis J. et al. Incremental component tree contour computation. Pattern Recognition Letters, v. 187, p. 115-121, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2024.11.019. Acesso em: 28 nov. 2025.
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      Silva, D. J., Kosinka, J., Hashimoto, R. F., Roerdink, J. B. T. M., Morimitsu, A., & Alves, W. A. L. (2025). Incremental component tree contour computation. Pattern Recognition Letters, 187, 115-121. doi:10.1016/j.patrec.2024.11.019
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      Silva DJ, Kosinka J, Hashimoto RF, Roerdink JBTM, Morimitsu A, Alves WAL. Incremental component tree contour computation [Internet]. Pattern Recognition Letters. 2025 ; 187 115-121.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.patrec.2024.11.019
    • Vancouver

      Silva DJ, Kosinka J, Hashimoto RF, Roerdink JBTM, Morimitsu A, Alves WAL. Incremental component tree contour computation [Internet]. Pattern Recognition Letters. 2025 ; 187 115-121.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.patrec.2024.11.019
  • Source: Proteomes. Unidade: IME

    Subjects: BIOINFORMÁTICA, MODELAGEM COMPUTACIONAL, RNA

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      GUPTA, Shantanu et al. DNA damage-induced ferroptosis: a boolean model regulating p53 and non-coding RNAs in drug resistance. Proteomes, v. 13, n. 1, p. 1-20, 2025Tradução . . Disponível em: https://doi.org/10.3390/proteomes13010006. Acesso em: 28 nov. 2025.
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      Gupta, S., Silveira, D. A., Mombach, J. C. M., & Hashimoto, R. F. (2025). DNA damage-induced ferroptosis: a boolean model regulating p53 and non-coding RNAs in drug resistance. Proteomes, 13( 1), 1-20. doi:10.3390/proteomes13010006
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      Gupta S, Silveira DA, Mombach JCM, Hashimoto RF. DNA damage-induced ferroptosis: a boolean model regulating p53 and non-coding RNAs in drug resistance [Internet]. Proteomes. 2025 ; 13( 1): 1-20.[citado 2025 nov. 28 ] Available from: https://doi.org/10.3390/proteomes13010006
    • Vancouver

      Gupta S, Silveira DA, Mombach JCM, Hashimoto RF. DNA damage-induced ferroptosis: a boolean model regulating p53 and non-coding RNAs in drug resistance [Internet]. Proteomes. 2025 ; 13( 1): 1-20.[citado 2025 nov. 28 ] Available from: https://doi.org/10.3390/proteomes13010006
  • Source: Pattern Recognition Letters. Unidade: IME

    Assunto: SENSORIAMENTO REMOTO

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      ALVES, Wonder Alexandre Luz et al. Multichannel image classification based on adaptive attribute profiles. Pattern Recognition Letters, v. 187, p. 107-114, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2024.11.015. Acesso em: 28 nov. 2025.
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      Alves, W. A. L., Campos, W. S., Gobber, C. F., Silva, D. J., & Hashimoto, R. F. (2025). Multichannel image classification based on adaptive attribute profiles. Pattern Recognition Letters, 187, 107-114. doi:10.1016/j.patrec.2024.11.015
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      Alves WAL, Campos WS, Gobber CF, Silva DJ, Hashimoto RF. Multichannel image classification based on adaptive attribute profiles [Internet]. Pattern Recognition Letters. 2025 ; 187 107-114.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.patrec.2024.11.015
    • Vancouver

      Alves WAL, Campos WS, Gobber CF, Silva DJ, Hashimoto RF. Multichannel image classification based on adaptive attribute profiles [Internet]. Pattern Recognition Letters. 2025 ; 187 107-114.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.patrec.2024.11.015
  • Source: Journal of The Royal Society Interface. Unidade: IME

    Subjects: NEOPLASIAS PULMONARES, MEDICAMENTO, SIMULAÇÃO, GEOMETRIA E MODELAGEM COMPUTACIONAL, ESTRATÉGIAS TERAPÊUTICAS

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      GUPTA, Shantanu et al. Targeting NSCLC drug resistance: systems biology insights into the MALAT1/miR-145-5p axis and Wip1 in regulating ferroptosis and apoptosis. Journal of The Royal Society Interface, v. 22, n. 226, p. 1-11, 2025Tradução . . Disponível em: https://doi.org/10.1098/rsif.2024.0852. Acesso em: 28 nov. 2025.
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      Gupta, S., Silveira, D. A., Mombach, J. C. M., & Hashimoto, R. F. (2025). Targeting NSCLC drug resistance: systems biology insights into the MALAT1/miR-145-5p axis and Wip1 in regulating ferroptosis and apoptosis. Journal of The Royal Society Interface, 22( 226), 1-11. doi:10.1098/rsif.2024.0852
    • NLM

      Gupta S, Silveira DA, Mombach JCM, Hashimoto RF. Targeting NSCLC drug resistance: systems biology insights into the MALAT1/miR-145-5p axis and Wip1 in regulating ferroptosis and apoptosis [Internet]. Journal of The Royal Society Interface. 2025 ; 22( 226): 1-11.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1098/rsif.2024.0852
    • Vancouver

      Gupta S, Silveira DA, Mombach JCM, Hashimoto RF. Targeting NSCLC drug resistance: systems biology insights into the MALAT1/miR-145-5p axis and Wip1 in regulating ferroptosis and apoptosis [Internet]. Journal of The Royal Society Interface. 2025 ; 22( 226): 1-11.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1098/rsif.2024.0852
  • Source: Discrete Geometry and Mathematical Morphology. DGMM 2024. Lecture Notes in Computer Science vol 14605. Conference titles: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME

    Subjects: COMPUTAÇÃO APLICADA, COMPUTAÇÃO GRÁFICA

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      SILVA, Dennis José da et al. Differential maximum euclidean distance transform computation in component trees. Discrete Geometry and Mathematical Morphology. DGMM 2024. Lecture Notes in Computer Science vol 14605. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-57793-2_6. Acesso em: 28 nov. 2025. , 2024
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      Silva, D. J. da, Miranda, P. A. V. de, Alves, W. A. L., Hashimoto, R. F., Kosinka, J., & Roerdink, J. B. T. M. (2024). Differential maximum euclidean distance transform computation in component trees. Discrete Geometry and Mathematical Morphology. DGMM 2024. Lecture Notes in Computer Science vol 14605. Cham: Springer. doi:10.1007/978-3-031-57793-2_6
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      Silva DJ da, Miranda PAV de, Alves WAL, Hashimoto RF, Kosinka J, Roerdink JBTM. Differential maximum euclidean distance transform computation in component trees [Internet]. Discrete Geometry and Mathematical Morphology. DGMM 2024. Lecture Notes in Computer Science vol 14605. 2024 ;[citado 2025 nov. 28 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_6
    • Vancouver

      Silva DJ da, Miranda PAV de, Alves WAL, Hashimoto RF, Kosinka J, Roerdink JBTM. Differential maximum euclidean distance transform computation in component trees [Internet]. Discrete Geometry and Mathematical Morphology. DGMM 2024. Lecture Notes in Computer Science vol 14605. 2024 ;[citado 2025 nov. 28 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_6
  • Source: International Journal of Molecular Sciences. Unidade: IME

    Subjects: MEDICAMENTO, RNA, GEOMETRIA E MODELAGEM COMPUTACIONAL, NEOPLASIAS, BIOINFORMÁTICA

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      GUPTA, Shantanu et al. LncRNA PTENP1/miR-21/PTEN axis modulates EMT and drug resistance in cancer: dynamic Boolean modeling for cell Fates in DNA damage response. International Journal of Molecular Sciences, v. 25, n. artigo 8264, p. 1-17, 2024Tradução . . Disponível em: https://doi.org/10.3390/ijms25158264. Acesso em: 28 nov. 2025.
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      Gupta, S., Silveira, D. A., Lorenzoni, P. R., Mombach, J. C. M., & Hashimoto, R. F. (2024). LncRNA PTENP1/miR-21/PTEN axis modulates EMT and drug resistance in cancer: dynamic Boolean modeling for cell Fates in DNA damage response. International Journal of Molecular Sciences, 25( artigo 8264), 1-17. doi:10.3390/ijms25158264
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      Gupta S, Silveira DA, Lorenzoni PR, Mombach JCM, Hashimoto RF. LncRNA PTENP1/miR-21/PTEN axis modulates EMT and drug resistance in cancer: dynamic Boolean modeling for cell Fates in DNA damage response [Internet]. International Journal of Molecular Sciences. 2024 ; 25( artigo 8264): 1-17.[citado 2025 nov. 28 ] Available from: https://doi.org/10.3390/ijms25158264
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      Gupta S, Silveira DA, Lorenzoni PR, Mombach JCM, Hashimoto RF. LncRNA PTENP1/miR-21/PTEN axis modulates EMT and drug resistance in cancer: dynamic Boolean modeling for cell Fates in DNA damage response [Internet]. International Journal of Molecular Sciences. 2024 ; 25( artigo 8264): 1-17.[citado 2025 nov. 28 ] Available from: https://doi.org/10.3390/ijms25158264
  • Source: Non-coding RNA Research. Unidades: IME, Interunidades em Bioinformática

    Subjects: NEOPLASIAS PULMONARES, ÁLGEBRAS DE BOOLE, APOPTOSE

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      GUPTA, Shantanu et al. A dynamic Boolean network reveals that the BMI1 and MALAT1 axis is associated with drug resistance by limiting miR-145-5p in non-small cell lung cancer. Non-coding RNA Research, v. 9, n. 1, p. 185-193, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.ncrna.2023.10.008. Acesso em: 28 nov. 2025.
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      Gupta, S., Silveira, D. A., Piedade, G. P. S., Ostrowski, M. P., Mombach, J. C. M., & Hashimoto, R. F. (2024). A dynamic Boolean network reveals that the BMI1 and MALAT1 axis is associated with drug resistance by limiting miR-145-5p in non-small cell lung cancer. Non-coding RNA Research, 9( 1), 185-193. doi:10.1016/j.ncrna.2023.10.008
    • NLM

      Gupta S, Silveira DA, Piedade GPS, Ostrowski MP, Mombach JCM, Hashimoto RF. A dynamic Boolean network reveals that the BMI1 and MALAT1 axis is associated with drug resistance by limiting miR-145-5p in non-small cell lung cancer [Internet]. Non-coding RNA Research. 2024 ; 9( 1): 185-193.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.ncrna.2023.10.008
    • Vancouver

      Gupta S, Silveira DA, Piedade GPS, Ostrowski MP, Mombach JCM, Hashimoto RF. A dynamic Boolean network reveals that the BMI1 and MALAT1 axis is associated with drug resistance by limiting miR-145-5p in non-small cell lung cancer [Internet]. Non-coding RNA Research. 2024 ; 9( 1): 185-193.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.ncrna.2023.10.008
  • Source: Computational Biology and Chemistry. Unidade: IME

    Subjects: ÁLGEBRAS DE BOOLE, COMPUTAÇÃO APLICADA, NEOPLASIAS PULMONARES

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      GUPTA, Shantanu e SILVEIRA, Daner Acunha e HASHIMOTO, Ronaldo Fumio. A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma. Computational Biology and Chemistry, v. 106, p. 1-6, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.compbiolchem.2023.107926. Acesso em: 28 nov. 2025.
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      Gupta, S., Silveira, D. A., & Hashimoto, R. F. (2023). A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma. Computational Biology and Chemistry, 106, 1-6. doi:10.1016/j.compbiolchem.2023.107926
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      Gupta S, Silveira DA, Hashimoto RF. A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma [Internet]. Computational Biology and Chemistry. 2023 ; 106 1-6.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.compbiolchem.2023.107926
    • Vancouver

      Gupta S, Silveira DA, Hashimoto RF. A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma [Internet]. Computational Biology and Chemistry. 2023 ; 106 1-6.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.compbiolchem.2023.107926
  • Source: Cells. Unidade: IME

    Subjects: DNA, ANÁLISE DE SÉRIES TEMPORAIS, ÁLGEBRAS DE BOOLE

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      GUPTA, Shantanu et al. Quadra-stable dynamics of p53 and PTEN in the DNA damage response. Cells, v. 12, n. artigo 1085, p. 1-17, 2023Tradução . . Disponível em: https://doi.org/10.3390/cells12071085. Acesso em: 28 nov. 2025.
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      Gupta, S., Panda, P. K., Silveira, D. A., Ahuja, R., & Hashimoto, R. F. (2023). Quadra-stable dynamics of p53 and PTEN in the DNA damage response. Cells, 12( artigo 1085), 1-17. doi:10.3390/cells12071085
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      Gupta S, Panda PK, Silveira DA, Ahuja R, Hashimoto RF. Quadra-stable dynamics of p53 and PTEN in the DNA damage response [Internet]. Cells. 2023 ; 12( artigo 1085): 1-17.[citado 2025 nov. 28 ] Available from: https://doi.org/10.3390/cells12071085
    • Vancouver

      Gupta S, Panda PK, Silveira DA, Ahuja R, Hashimoto RF. Quadra-stable dynamics of p53 and PTEN in the DNA damage response [Internet]. Cells. 2023 ; 12( artigo 1085): 1-17.[citado 2025 nov. 28 ] Available from: https://doi.org/10.3390/cells12071085
  • Source: Non-coding RNA Research. Unidade: IME

    Subjects: APOPTOSE, ÁLGEBRAS DE BOOLE, COMPUTAÇÃO APLICADA, NEOPLASIAS PULMONARES

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      GUPTA, Shantanu et al. The lncRNA DLX6-AS1/miR-16-5p axis regulates autophagy and apoptosis in non-small cell lung cancer: a Boolean model of cell death. Non-coding RNA Research, v. 8, n. 4, p. 605-614, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.ncrna.2023.08.003. Acesso em: 28 nov. 2025.
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      Gupta, S., Silveira, D. A., Mombach, J. C. M., & Hashimoto, R. F. (2023). The lncRNA DLX6-AS1/miR-16-5p axis regulates autophagy and apoptosis in non-small cell lung cancer: a Boolean model of cell death. Non-coding RNA Research, 8( 4), 605-614. doi:10.1016/j.ncrna.2023.08.003
    • NLM

      Gupta S, Silveira DA, Mombach JCM, Hashimoto RF. The lncRNA DLX6-AS1/miR-16-5p axis regulates autophagy and apoptosis in non-small cell lung cancer: a Boolean model of cell death [Internet]. Non-coding RNA Research. 2023 ; 8( 4): 605-614.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.ncrna.2023.08.003
    • Vancouver

      Gupta S, Silveira DA, Mombach JCM, Hashimoto RF. The lncRNA DLX6-AS1/miR-16-5p axis regulates autophagy and apoptosis in non-small cell lung cancer: a Boolean model of cell death [Internet]. Non-coding RNA Research. 2023 ; 8( 4): 605-614.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.ncrna.2023.08.003
  • Source: Biology. Unidade: IME

    Subjects: GEOMETRIA E MODELAGEM COMPUTACIONAL, BIOINFORMÁTICA

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      GUPTA, Shantanu et al. A Boolean model of the proliferative role of the lncRNA XIST in non-small cell lung cancer cells. Biology, v. 11, n. artigo 480, p. 1-14, 2022Tradução . . Disponível em: https://doi.org/10.3390/biology11040480. Acesso em: 28 nov. 2025.
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      Gupta, S., Silveira, D. A., Hashimoto, R. F., & Mombach, J. C. M. (2022). A Boolean model of the proliferative role of the lncRNA XIST in non-small cell lung cancer cells. Biology, 11( artigo 480), 1-14. doi:10.3390/biology11040480
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      Gupta S, Silveira DA, Hashimoto RF, Mombach JCM. A Boolean model of the proliferative role of the lncRNA XIST in non-small cell lung cancer cells [Internet]. Biology. 2022 ; 11( artigo 480): 1-14.[citado 2025 nov. 28 ] Available from: https://doi.org/10.3390/biology11040480
    • Vancouver

      Gupta S, Silveira DA, Hashimoto RF, Mombach JCM. A Boolean model of the proliferative role of the lncRNA XIST in non-small cell lung cancer cells [Internet]. Biology. 2022 ; 11( artigo 480): 1-14.[citado 2025 nov. 28 ] Available from: https://doi.org/10.3390/biology11040480
  • Source: São Paulo Journal of Mathematical Sciences. Unidade: IME

    Subjects: METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO, PROCESSAMENTO DE IMAGENS

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      BARRERA, Junior et al. From mathematical morphology to machine learning of image operators. São Paulo Journal of Mathematical Sciences, 2022Tradução . . Disponível em: https://doi.org/10.1007/s40863-022-00303-1. Acesso em: 28 nov. 2025.
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      Barrera, J., Hashimoto, R. F., Hirata, N. S. T., Hirata Júnior, R., & Reis, M. S. (2022). From mathematical morphology to machine learning of image operators. São Paulo Journal of Mathematical Sciences. doi:10.1007/s40863-022-00303-1
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      Barrera J, Hashimoto RF, Hirata NST, Hirata Júnior R, Reis MS. From mathematical morphology to machine learning of image operators [Internet]. São Paulo Journal of Mathematical Sciences. 2022 ;[citado 2025 nov. 28 ] Available from: https://doi.org/10.1007/s40863-022-00303-1
    • Vancouver

      Barrera J, Hashimoto RF, Hirata NST, Hirata Júnior R, Reis MS. From mathematical morphology to machine learning of image operators [Internet]. São Paulo Journal of Mathematical Sciences. 2022 ;[citado 2025 nov. 28 ] Available from: https://doi.org/10.1007/s40863-022-00303-1
  • Source: Pattern Recognition Letters. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      GOBBER, Charles F e HASHIMOTO, Ronaldo Fumio e ALVES, Wonder Alexandre Luz. An efficient algorithm to update non-flat and incremental attributes in morphological trees. Pattern Recognition Letters, v. 163, p. 47-54, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2022.09.005. Acesso em: 28 nov. 2025.
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      Gobber, C. F., Hashimoto, R. F., & Alves, W. A. L. (2022). An efficient algorithm to update non-flat and incremental attributes in morphological trees. Pattern Recognition Letters, 163, 47-54. doi:10.1016/j.patrec.2022.09.005
    • NLM

      Gobber CF, Hashimoto RF, Alves WAL. An efficient algorithm to update non-flat and incremental attributes in morphological trees [Internet]. Pattern Recognition Letters. 2022 ; 163 47-54.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.patrec.2022.09.005
    • Vancouver

      Gobber CF, Hashimoto RF, Alves WAL. An efficient algorithm to update non-flat and incremental attributes in morphological trees [Internet]. Pattern Recognition Letters. 2022 ; 163 47-54.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.patrec.2022.09.005
  • Source: IEEE-ACM Transactions on Computational Biology and Bioinformatics. Unidade: IME

    Subjects: ÁLGEBRAS DE BOOLE, EXPRESSÃO GÊNICA, ANÁLISE DE SÉRIES TEMPORAIS

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      HIGA, Carlos H. A e ANDRADE, Tales Pinheiro de e HASHIMOTO, Ronaldo Fumio. Growing seed genes from time series data and thresholded Boolean networks with perturbation. IEEE-ACM Transactions on Computational Biology and Bioinformatics, v. 10, n. 1, p. 37-49, 2013Tradução . . Disponível em: https://doi.org/10.1109/TCBB.2012.169. Acesso em: 28 nov. 2025.
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      Higa, C. H. A., Andrade, T. P. de, & Hashimoto, R. F. (2013). Growing seed genes from time series data and thresholded Boolean networks with perturbation. IEEE-ACM Transactions on Computational Biology and Bioinformatics, 10( 1), 37-49. doi:10.1109/TCBB.2012.169
    • NLM

      Higa CHA, Andrade TP de, Hashimoto RF. Growing seed genes from time series data and thresholded Boolean networks with perturbation [Internet]. IEEE-ACM Transactions on Computational Biology and Bioinformatics. 2013 ; 10( 1): 37-49.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/TCBB.2012.169
    • Vancouver

      Higa CHA, Andrade TP de, Hashimoto RF. Growing seed genes from time series data and thresholded Boolean networks with perturbation [Internet]. IEEE-ACM Transactions on Computational Biology and Bioinformatics. 2013 ; 10( 1): 37-49.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/TCBB.2012.169
  • Source: Pattern recognition recent advances. Unidade: IME

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      RIBEIRO, João Henrique Burckas e HASHIMOTO, Ronaldo Fumio. Pattern recognition based on straight line segments. Pattern recognition recent advances. Tradução . Vienna: INTECH, 2010. . Disponível em: https://doi.org/10.5772/9351. Acesso em: 28 nov. 2025.
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      Ribeiro, J. H. B., & Hashimoto, R. F. (2010). Pattern recognition based on straight line segments. In Pattern recognition recent advances. Vienna: INTECH. doi:10.5772/9351
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      Ribeiro JHB, Hashimoto RF. Pattern recognition based on straight line segments [Internet]. In: Pattern recognition recent advances. Vienna: INTECH; 2010. [citado 2025 nov. 28 ] Available from: https://doi.org/10.5772/9351
    • Vancouver

      Ribeiro JHB, Hashimoto RF. Pattern recognition based on straight line segments [Internet]. In: Pattern recognition recent advances. Vienna: INTECH; 2010. [citado 2025 nov. 28 ] Available from: https://doi.org/10.5772/9351
  • Source: IEEE Journal of Selected Topics in Signal Processing. Unidade: IME

    Subjects: COMPUTAÇÃO GRÁFICA, GENES, BIOINFORMÁTICA

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      MARTINS JÚNIOR, David Correa et al. Intrinsically multivariate predictive genes. IEEE Journal of Selected Topics in Signal Processing, v. 2, n. 3, p. 424-439, 2008Tradução . . Disponível em: https://doi.org/10.1109/JSTSP.2008.923841. Acesso em: 28 nov. 2025.
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      Martins Júnior, D. C., Braga-Neto, U. de M., Hashimoto, R. F., Bittner, M. L., & Dougherty, E. R. (2008). Intrinsically multivariate predictive genes. IEEE Journal of Selected Topics in Signal Processing, 2( 3), 424-439. doi:10.1109/JSTSP.2008.923841
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      Martins Júnior DC, Braga-Neto U de M, Hashimoto RF, Bittner ML, Dougherty ER. Intrinsically multivariate predictive genes [Internet]. IEEE Journal of Selected Topics in Signal Processing. 2008 ; 2( 3): 424-439.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/JSTSP.2008.923841
    • Vancouver

      Martins Júnior DC, Braga-Neto U de M, Hashimoto RF, Bittner ML, Dougherty ER. Intrinsically multivariate predictive genes [Internet]. IEEE Journal of Selected Topics in Signal Processing. 2008 ; 2( 3): 424-439.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/JSTSP.2008.923841

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