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Filtros : "EXPRESSÃO GÊNICA" "ICMC-SME" Removidos: "Folegatti, Marcos Vinícius" "Tokura, Y" "FOB" Limpar

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  • Artigo de periodico

    Experimental guidance for discovering genetic networks through hypothesis reduction on time series (2022)

    Cummins, Breschine ; Motta, Francis C ; Moseley, Robert C ; Deckard, Anastasia ; Campione, Sophia ; Gameiro, Márcio Fuzeto ; Gedeon, Tomás ; Mischaikow, Konstantin ; Haase, Steve

    Source: PLoS Computational Biology. Unidade: ICMC

    Subjects: HIPÓTESE, EXPRESSÃO GÊNICA, ANÁLISE DE SÉRIES TEMPORAIS

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      CUMMINS, Breschine et al. Experimental guidance for discovering genetic networks through hypothesis reduction on time series. PLoS Computational Biology, v. 18, n. 10, p. 1-31, 2022Tradução . . Disponível em: https://doi.org/10.1371/journal.pcbi.1010145. Acesso em: 23 jun. 2024.

    • APA

      Cummins, B., Motta, F. C., Moseley, R. C., Deckard, A., Campione, S., Gameiro, M. F., et al. (2022). Experimental guidance for discovering genetic networks through hypothesis reduction on time series. PLoS Computational Biology, 18( 10), 1-31. doi:10.1371/journal.pcbi.1010145

    • NLM

      Cummins B, Motta FC, Moseley RC, Deckard A, Campione S, Gameiro MF, Gedeon T, Mischaikow K, Haase S. Experimental guidance for discovering genetic networks through hypothesis reduction on time series [Internet]. PLoS Computational Biology. 2022 ; 18( 10): 1-31.[citado 2024 jun. 23 ] Available from: https://doi.org/10.1371/journal.pcbi.1010145

    • Vancouver

      Cummins B, Motta FC, Moseley RC, Deckard A, Campione S, Gameiro MF, Gedeon T, Mischaikow K, Haase S. Experimental guidance for discovering genetic networks through hypothesis reduction on time series [Internet]. PLoS Computational Biology. 2022 ; 18( 10): 1-31.[citado 2024 jun. 23 ] Available from: https://doi.org/10.1371/journal.pcbi.1010145

  • Artigo de periodico

    Experimental correlation analysis of bicluster coherence measures and gene ontology information (2019)

    Padilha, Victor Alexandre ; Carvalho, André Carlos Ponce de Leon Ferreira de

    Source: Applied Soft Computing. Unidade: ICMC

    Subjects: BIOINFORMÁTICA, RECONHECIMENTO DE PADRÕES, ALGORITMOS GENÉTICOS, EXPRESSÃO GÊNICA

    Versão AceitaAcesso à fonteDOIHow to cite
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    • ABNT

      PADILHA, Victor Alexandre e CARVALHO, André Carlos Ponce de Leon Ferreira de. Experimental correlation analysis of bicluster coherence measures and gene ontology information. Applied Soft Computing, v. 85, p. 1-11, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2019.105688. Acesso em: 23 jun. 2024.

    • APA

      Padilha, V. A., & Carvalho, A. C. P. de L. F. de. (2019). Experimental correlation analysis of bicluster coherence measures and gene ontology information. Applied Soft Computing, 85, 1-11. doi:10.1016/j.asoc.2019.105688

    • NLM

      Padilha VA, Carvalho ACP de LF de. Experimental correlation analysis of bicluster coherence measures and gene ontology information [Internet]. Applied Soft Computing. 2019 ; 85 1-11.[citado 2024 jun. 23 ] Available from: https://doi.org/10.1016/j.asoc.2019.105688

    • Vancouver

      Padilha VA, Carvalho ACP de LF de. Experimental correlation analysis of bicluster coherence measures and gene ontology information [Internet]. Applied Soft Computing. 2019 ; 85 1-11.[citado 2024 jun. 23 ] Available from: https://doi.org/10.1016/j.asoc.2019.105688

  • Artigo de periodico

    Identifying differentially expressed genes using the Polya urn scheme (2017)

    Saraiva, Erlandson Ferreira; Milan, Luís Aparecido; Suzuki, Adriano Kamimura

    Source: Communications for Statistical Applications and Methods. Unidade: ICMC

    Subjects: PROBABILIDADE, INFERÊNCIA BAYESIANA, INFERÊNCIA PARAMÉTRICA, INFERÊNCIA ESTATÍSTICA, EXPRESSÃO GÊNICA

    Acesso à fonteDOIHow to cite
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    • ABNT

      SARAIVA, Erlandson Ferreira e MILAN, Luís Aparecido e SUZUKI, Adriano Kamimura. Identifying differentially expressed genes using the Polya urn scheme. Communications for Statistical Applications and Methods, v. 24, n. 6, p. 627-640, 2017Tradução . . Disponível em: https://doi.org/10.29220/CSAM.2017.24.6.627. Acesso em: 23 jun. 2024.

    • APA

      Saraiva, E. F., Milan, L. A., & Suzuki, A. K. (2017). Identifying differentially expressed genes using the Polya urn scheme. Communications for Statistical Applications and Methods, 24( 6), 627-640. doi:10.29220/CSAM.2017.24.6.627

    • NLM

      Saraiva EF, Milan LA, Suzuki AK. Identifying differentially expressed genes using the Polya urn scheme [Internet]. Communications for Statistical Applications and Methods. 2017 ; 24( 6): 627-640.[citado 2024 jun. 23 ] Available from: https://doi.org/10.29220/CSAM.2017.24.6.627

    • Vancouver

      Saraiva EF, Milan LA, Suzuki AK. Identifying differentially expressed genes using the Polya urn scheme [Internet]. Communications for Statistical Applications and Methods. 2017 ; 24( 6): 627-640.[citado 2024 jun. 23 ] Available from: https://doi.org/10.29220/CSAM.2017.24.6.627

  • Artigo de periodico

    A gene-by-gene multiple comparison analysis: a predictive Bayesian approach (2015)

    Saraiva, Erlandson Ferreira ; Louzada, Francisco

    Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, COMPARAÇÕES MÚLTIPLAS, EXPRESSÃO GÊNICA

    Acesso à fonteDOIHow to cite
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    • ABNT

      SARAIVA, Erlandson Ferreira e LOUZADA, Francisco. A gene-by-gene multiple comparison analysis: a predictive Bayesian approach. Brazilian Journal of Probability and Statistics, v. 29, n. 1, p. 145-171, 2015Tradução . . Disponível em: https://doi.org/10.1214/13-BJPS233. Acesso em: 23 jun. 2024.

    • APA

      Saraiva, E. F., & Louzada, F. (2015). A gene-by-gene multiple comparison analysis: a predictive Bayesian approach. Brazilian Journal of Probability and Statistics, 29( 1), 145-171. doi:10.1214/13-BJPS233

    • NLM

      Saraiva EF, Louzada F. A gene-by-gene multiple comparison analysis: a predictive Bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2015 ; 29( 1): 145-171.[citado 2024 jun. 23 ] Available from: https://doi.org/10.1214/13-BJPS233

    • Vancouver

      Saraiva EF, Louzada F. A gene-by-gene multiple comparison analysis: a predictive Bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2015 ; 29( 1): 145-171.[citado 2024 jun. 23 ] Available from: https://doi.org/10.1214/13-BJPS233
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