Filtros : "BIOINFORMÁTICA" "Peru" Limpar

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  • Fonte: IUCrJ. Unidade: IFSC

    Assuntos: PROTEÍNAS, BIOINFORMÁTICA, REDES NEURAIS

    Versão PublicadaAcesso à fonteDOIComo citar
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    • ABNT

      CHOJNOWSKI, Grzegorz et al. findMySequence: a neural-network-based approach for identification of unknown proteins in X-ray crystallography and cryo-EM. IUCrJ, v. 9, n. Ja 2022, p. 86-97, 2022Tradução . . Disponível em: https://doi.org/10.1107/S2052252521011088. Acesso em: 15 nov. 2025.
    • APA

      Chojnowski, G., Simpkin, A. J., Leonardo, D. A., Seifert-Davila, W., Vivas-Ruiz, D. E., Keegan, R. M., & Rigden, D. J. (2022). findMySequence: a neural-network-based approach for identification of unknown proteins in X-ray crystallography and cryo-EM. IUCrJ, 9( Ja 2022), 86-97. doi:10.1107/S2052252521011088
    • NLM

      Chojnowski G, Simpkin AJ, Leonardo DA, Seifert-Davila W, Vivas-Ruiz DE, Keegan RM, Rigden DJ. findMySequence: a neural-network-based approach for identification of unknown proteins in X-ray crystallography and cryo-EM [Internet]. IUCrJ. 2022 ; 9( Ja 2022): 86-97.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1107/S2052252521011088
    • Vancouver

      Chojnowski G, Simpkin AJ, Leonardo DA, Seifert-Davila W, Vivas-Ruiz DE, Keegan RM, Rigden DJ. findMySequence: a neural-network-based approach for identification of unknown proteins in X-ray crystallography and cryo-EM [Internet]. IUCrJ. 2022 ; 9( Ja 2022): 86-97.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1107/S2052252521011088
  • Fonte: F1000Research. Unidade: FMRP

    Assuntos: COVID-19, BIOINFORMÁTICA, PANDEMIAS, EVENTOS, ESTUDANTES

    PrivadoAcesso à fonteDOIComo citar
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    • ABNT

      CASTILLO-VILCAHUAMAN, Camila et al. 4th ISCB Latin American Student Council Symposium. [Editorial]: a virtual and inclusive experience during COVID-19 times. F1000Research. London: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.12688/f1000research.28330.1. Acesso em: 15 nov. 2025. , 2020
    • APA

      Castillo-Vilcahuaman, C., Valdivia, C., Osorio-Mogollón, C., Silva-Andrade, C., Puche-Quiñonez, R., Ayala-Ruano, S., et al. (2020). 4th ISCB Latin American Student Council Symposium. [Editorial]: a virtual and inclusive experience during COVID-19 times. F1000Research. London: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.12688/f1000research.28330.1
    • NLM

      Castillo-Vilcahuaman C, Valdivia C, Osorio-Mogollón C, Silva-Andrade C, Puche-Quiñonez R, Ayala-Ruano S, Cuesta-Astroz Y, Parra RG. 4th ISCB Latin American Student Council Symposium. [Editorial]: a virtual and inclusive experience during COVID-19 times [Internet]. F1000Research. 2020 ;[citado 2025 nov. 15 ] Available from: https://doi.org/10.12688/f1000research.28330.1
    • Vancouver

      Castillo-Vilcahuaman C, Valdivia C, Osorio-Mogollón C, Silva-Andrade C, Puche-Quiñonez R, Ayala-Ruano S, Cuesta-Astroz Y, Parra RG. 4th ISCB Latin American Student Council Symposium. [Editorial]: a virtual and inclusive experience during COVID-19 times [Internet]. F1000Research. 2020 ;[citado 2025 nov. 15 ] Available from: https://doi.org/10.12688/f1000research.28330.1
  • Fonte: Proceedings. Nome do evento: IEEE International Conference on Electronics, Electrical Engineering and Computing - INTERCON. Unidade: ICMC

    Assuntos: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA

    Acesso à fonteDOIComo citar
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    • ABNT

      SHIGUIHARA-JUÁREZ, Pedro e MURRUGARRA-LLERENA, Nils e LOPES, Alneu de Andrade. POS-tags features for protein-protein interaction extraction from biomedical articles. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/INTERCON.2018.8526370. Acesso em: 15 nov. 2025.
    • APA

      Shiguihara-Juárez, P., Murrugarra-Llerena, N., & Lopes, A. de A. (2018). POS-tags features for protein-protein interaction extraction from biomedical articles. In Proceedings. Piscataway: IEEE. doi:10.1109/INTERCON.2018.8526370
    • NLM

      Shiguihara-Juárez P, Murrugarra-Llerena N, Lopes A de A. POS-tags features for protein-protein interaction extraction from biomedical articles [Internet]. Proceedings. 2018 ;[citado 2025 nov. 15 ] Available from: https://doi.org/10.1109/INTERCON.2018.8526370
    • Vancouver

      Shiguihara-Juárez P, Murrugarra-Llerena N, Lopes A de A. POS-tags features for protein-protein interaction extraction from biomedical articles [Internet]. Proceedings. 2018 ;[citado 2025 nov. 15 ] Available from: https://doi.org/10.1109/INTERCON.2018.8526370

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