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  • Fonte: Journal of Mathematical Physics. Unidade: IME

    Assuntos: MECÂNICA ESTATÍSTICA, MATERIAIS MAGNÉTICOS

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      FERNÁNDEZ, Roberto et al. Lack of phase transitions in staggered magnetic systems. A comparison of uniqueness criteria. Journal of Mathematical Physics, v. 62, n. artigo 103301, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1063/5.0020757. Acesso em: 24 abr. 2024.
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      Fernández, R., González-Navarrete, M., Pechersky, E., & Yambartsev, A. (2021). Lack of phase transitions in staggered magnetic systems. A comparison of uniqueness criteria. Journal of Mathematical Physics, 62( artigo 103301), 1-13. doi:10.1063/5.0020757
    • NLM

      Fernández R, González-Navarrete M, Pechersky E, Yambartsev A. Lack of phase transitions in staggered magnetic systems. A comparison of uniqueness criteria [Internet]. Journal of Mathematical Physics. 2021 ; 62( artigo 103301): 1-13.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1063/5.0020757
    • Vancouver

      Fernández R, González-Navarrete M, Pechersky E, Yambartsev A. Lack of phase transitions in staggered magnetic systems. A comparison of uniqueness criteria [Internet]. Journal of Mathematical Physics. 2021 ; 62( artigo 103301): 1-13.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1063/5.0020757
  • Fonte: Journal of Statistical Physics. Unidade: IME

    Assunto: PROCESSOS ESTOCÁSTICOS ESPECIAIS

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      SHCHERBAKOV, Vadim e IAMBARTSEV, Anatoli. On equilibrium distribution of a reversible growth model. Journal of Statistical Physics, v. 148, n. 1, p. 148-153, 2012Tradução . . Disponível em: https://doi.org/10.1007/s10955-012-0530-x. Acesso em: 24 abr. 2024.
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      Shcherbakov, V., & Iambartsev, A. (2012). On equilibrium distribution of a reversible growth model. Journal of Statistical Physics, 148( 1), 148-153. doi:10.1007/s10955-012-0530-x
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      Shcherbakov V, Iambartsev A. On equilibrium distribution of a reversible growth model [Internet]. Journal of Statistical Physics. 2012 ; 148( 1): 148-153.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/s10955-012-0530-x
    • Vancouver

      Shcherbakov V, Iambartsev A. On equilibrium distribution of a reversible growth model [Internet]. Journal of Statistical Physics. 2012 ; 148( 1): 148-153.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/s10955-012-0530-x
  • Fonte: Electronic Communications in Probability. Unidade: IME

    Assuntos: PROCESSOS ESTOCÁSTICOS, GRANDES DESVIOS, PROCESSOS DE MARKOV

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      MOGULSKII, Anatoli e PECHERSKY, Eugene A e IAMBARTSEV, Anatoli. Large deviations for excursions of non-homogeneous Markov processes. Electronic Communications in Probability, v. 19, p. 1-8, 2014Tradução . . Disponível em: https://doi.org/10.1214/ECP.v19-3289. Acesso em: 24 abr. 2024.
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      Mogulskii, A., Pechersky, E. A., & Iambartsev, A. (2014). Large deviations for excursions of non-homogeneous Markov processes. Electronic Communications in Probability, 19, 1-8. doi:10.1214/ECP.v19-3289
    • NLM

      Mogulskii A, Pechersky EA, Iambartsev A. Large deviations for excursions of non-homogeneous Markov processes [Internet]. Electronic Communications in Probability. 2014 ; 19 1-8.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1214/ECP.v19-3289
    • Vancouver

      Mogulskii A, Pechersky EA, Iambartsev A. Large deviations for excursions of non-homogeneous Markov processes [Internet]. Electronic Communications in Probability. 2014 ; 19 1-8.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1214/ECP.v19-3289
  • Fonte: Bioinformatics and Biology Insights. Unidade: IME

    Assuntos: ESTATÍSTICA APLICADA, BIOESTATÍSTICA, PROCESSOS ESTOCÁSTICOS

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      DONG, Xiaoxi et al. Reverse enGENEering of regulatory networks from big data: a roadmap for biologists. Bioinformatics and Biology Insights, v. 9, p. 61-74, 2015Tradução . . Disponível em: https://doi.org/10.4137/BBI.S12467. Acesso em: 24 abr. 2024.
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      Dong, X., Iambartsev, A., Ramsey, S. A., Thomas, L. D., Shulzhenko, N., & Morgun, A. (2015). Reverse enGENEering of regulatory networks from big data: a roadmap for biologists. Bioinformatics and Biology Insights, 9, 61-74. doi:10.4137/BBI.S12467
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      Dong X, Iambartsev A, Ramsey SA, Thomas LD, Shulzhenko N, Morgun A. Reverse enGENEering of regulatory networks from big data: a roadmap for biologists [Internet]. Bioinformatics and Biology Insights. 2015 ; 9 61-74.[citado 2024 abr. 24 ] Available from: https://doi.org/10.4137/BBI.S12467
    • Vancouver

      Dong X, Iambartsev A, Ramsey SA, Thomas LD, Shulzhenko N, Morgun A. Reverse enGENEering of regulatory networks from big data: a roadmap for biologists [Internet]. Bioinformatics and Biology Insights. 2015 ; 9 61-74.[citado 2024 abr. 24 ] Available from: https://doi.org/10.4137/BBI.S12467
  • Fonte: ESAIM: Probability and Statistics. Unidade: IME

    Assunto: PROCESSOS ESTOCÁSTICOS

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    • ABNT

      LOGACHOV, A. e MOGULSKII, Anatolii e IAMBARTSEV, Anatoli. Limit theorems for chains with unbounded variable length memory which satisfy Cramer condition. ESAIM: Probability and Statistics, v. 26, p. 152-170, 2022Tradução . . Disponível em: https://doi.org/10.1051/ps/2022002. Acesso em: 24 abr. 2024.
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      Logachov, A., Mogulskii, A., & Iambartsev, A. (2022). Limit theorems for chains with unbounded variable length memory which satisfy Cramer condition. ESAIM: Probability and Statistics, 26, 152-170. doi:10.1051/ps/2022002
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      Logachov A, Mogulskii A, Iambartsev A. Limit theorems for chains with unbounded variable length memory which satisfy Cramer condition [Internet]. ESAIM: Probability and Statistics. 2022 ; 26 152-170.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1051/ps/2022002
    • Vancouver

      Logachov A, Mogulskii A, Iambartsev A. Limit theorems for chains with unbounded variable length memory which satisfy Cramer condition [Internet]. ESAIM: Probability and Statistics. 2022 ; 26 152-170.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1051/ps/2022002
  • Fonte: Journal of Statistical Physics. Unidade: IME

    Assunto: PROCESSOS ESTOCÁSTICOS ESPECIAIS

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      KRIKUN, Maxim e IAMBARTSEV, Anatoli. Phase transition for the Ising model on the critical Lorentzian triangulation. Journal of Statistical Physics, v. 148, n. 1, p. 422-439, 2012Tradução . . Disponível em: https://doi.org/10.1007/s10955-012-0548-0. Acesso em: 24 abr. 2024.
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      Krikun, M., & Iambartsev, A. (2012). Phase transition for the Ising model on the critical Lorentzian triangulation. Journal of Statistical Physics, 148( 1), 422-439. doi:10.1007/s10955-012-0548-0
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      Krikun M, Iambartsev A. Phase transition for the Ising model on the critical Lorentzian triangulation [Internet]. Journal of Statistical Physics. 2012 ; 148( 1): 422-439.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/s10955-012-0548-0
    • Vancouver

      Krikun M, Iambartsev A. Phase transition for the Ising model on the critical Lorentzian triangulation [Internet]. Journal of Statistical Physics. 2012 ; 148( 1): 422-439.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/s10955-012-0548-0
  • Fonte: Journal of Statistical Physics. Unidade: IME

    Assunto: TOPOLOGIA DIFERENCIAL

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      KELBERT, M e SUHOV, Y e IAMBARTSEV, Anatoli. A Mermin-Wagner theorem for Gibbs states on Lorentzian triangulations. Journal of Statistical Physics, v. 150, n. 4, p. 671-677, 2013Tradução . . Disponível em: https://doi.org/10.1007/s10955-013-0698-8. Acesso em: 24 abr. 2024.
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      Kelbert, M., Suhov, Y., & Iambartsev, A. (2013). A Mermin-Wagner theorem for Gibbs states on Lorentzian triangulations. Journal of Statistical Physics, 150( 4), 671-677. doi:10.1007/s10955-013-0698-8
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      Kelbert M, Suhov Y, Iambartsev A. A Mermin-Wagner theorem for Gibbs states on Lorentzian triangulations [Internet]. Journal of Statistical Physics. 2013 ; 150( 4): 671-677.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/s10955-013-0698-8
    • Vancouver

      Kelbert M, Suhov Y, Iambartsev A. A Mermin-Wagner theorem for Gibbs states on Lorentzian triangulations [Internet]. Journal of Statistical Physics. 2013 ; 150( 4): 671-677.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/s10955-013-0698-8
  • Fonte: Book of abstracts. Nome do evento: Workshop on Probabilistic and Statistical Methods. Unidade: IME

    Assunto: PROCESSOS ESTOCÁSTICOS

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      IAMBARTSEV, Anatoli. Stochastic ising model with plastic interactions. 2017, Anais.. São Carlos, SP: ICMC-USP/DEs-UFSCar, 2017. Disponível em: http://wpsm.icmc.usp.br/5WPSM/Program_5WPSM.pdf. Acesso em: 24 abr. 2024.
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      Iambartsev, A. (2017). Stochastic ising model with plastic interactions. In Book of abstracts. São Carlos, SP: ICMC-USP/DEs-UFSCar. Recuperado de http://wpsm.icmc.usp.br/5WPSM/Program_5WPSM.pdf
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      Iambartsev A. Stochastic ising model with plastic interactions [Internet]. Book of abstracts. 2017 ;[citado 2024 abr. 24 ] Available from: http://wpsm.icmc.usp.br/5WPSM/Program_5WPSM.pdf
    • Vancouver

      Iambartsev A. Stochastic ising model with plastic interactions [Internet]. Book of abstracts. 2017 ;[citado 2024 abr. 24 ] Available from: http://wpsm.icmc.usp.br/5WPSM/Program_5WPSM.pdf
  • Fonte: Journal of Applied Probability. Unidade: IME

    Assuntos: PROCESSOS DE MARKOV, PASSEIOS ALEATÓRIOS, PROCESSOS ESTACIONÁRIOS

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      GANNON, Mark A et al. Random walks in a queueing network environment. Journal of Applied Probability, v. 53, n. 2, p. 448-462, 2016Tradução . . Disponível em: https://doi.org/10.1017/jpr.2016.12. Acesso em: 24 abr. 2024.
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      Gannon, M. A., Pechersky, E. A., Suhov, Y. M., & Iambartsev, A. (2016). Random walks in a queueing network environment. Journal of Applied Probability, 53( 2), 448-462. doi:10.1017/jpr.2016.12
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      Gannon MA, Pechersky EA, Suhov YM, Iambartsev A. Random walks in a queueing network environment [Internet]. Journal of Applied Probability. 2016 ; 53( 2): 448-462.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1017/jpr.2016.12
    • Vancouver

      Gannon MA, Pechersky EA, Suhov YM, Iambartsev A. Random walks in a queueing network environment [Internet]. Journal of Applied Probability. 2016 ; 53( 2): 448-462.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1017/jpr.2016.12
  • Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assuntos: EQUAÇÕES DIFERENCIAIS ESTOCÁSTICAS, GRANDES DESVIOS

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      LOGACHOV, Artem e LOGACHOVA, Olga e YAMBARTSEV, Anatoli. The local principle of large deviations for compound Poisson process with catastrophes. Brazilian Journal of Probability and Statistics, v. 35, n. 2, p. 205-223, 2021Tradução . . Disponível em: https://doi.org/10.1214/20-BJPS472. Acesso em: 24 abr. 2024.
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      Logachov, A., Logachova, O., & Yambartsev, A. (2021). The local principle of large deviations for compound Poisson process with catastrophes. Brazilian Journal of Probability and Statistics, 35( 2), 205-223. doi:10.1214/20-BJPS472
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      Logachov A, Logachova O, Yambartsev A. The local principle of large deviations for compound Poisson process with catastrophes [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 2): 205-223.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1214/20-BJPS472
    • Vancouver

      Logachov A, Logachova O, Yambartsev A. The local principle of large deviations for compound Poisson process with catastrophes [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 2): 205-223.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1214/20-BJPS472
  • Fonte: RAIRO - Operations Research. Unidade: IME

    Assuntos: PROBABILIDADE, PROCESSOS ESTOCÁSTICOS

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      CERDA-HERNÁNDEZ, Jose Javier e LOGACHOV, Artem e YAMBARTSEV, Anatoli. Bid-ask spread dynamics: large upward jump with geometric catastrophes. RAIRO - Operations Research, v. 58, n. 2, p. 1375-1399, 2024Tradução . . Disponível em: https://doi.org/10.1051/ro/2024039. Acesso em: 24 abr. 2024.
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      Cerda-Hernández, J. J., Logachov, A., & Yambartsev, A. (2024). Bid-ask spread dynamics: large upward jump with geometric catastrophes. RAIRO - Operations Research, 58( 2), 1375-1399. doi:10.1051/ro/2024039
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      Cerda-Hernández JJ, Logachov A, Yambartsev A. Bid-ask spread dynamics: large upward jump with geometric catastrophes [Internet]. RAIRO - Operations Research. 2024 ; 58( 2): 1375-1399.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1051/ro/2024039
    • Vancouver

      Cerda-Hernández JJ, Logachov A, Yambartsev A. Bid-ask spread dynamics: large upward jump with geometric catastrophes [Internet]. RAIRO - Operations Research. 2024 ; 58( 2): 1375-1399.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1051/ro/2024039
  • Fonte: Latin American Journal of Probability and Mathematical Statistics. Unidade: IME

    Assuntos: PROCESSOS ESTOCÁSTICOS, MECÂNICA ESTATÍSTICA, GRAFOS ALEATÓRIOS

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      KOVCHEGOV, Yevgeniy e OTTO, Peter T. e YAMBARTSEV, Anatoli. Cross-multiplicative coalescent processes and applications. Latin American Journal of Probability and Mathematical Statistics, v. 18, p. 81-106, 2021Tradução . . Disponível em: https://doi.org/10.30757/ALEA.V18-05. Acesso em: 24 abr. 2024.
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      Kovchegov, Y., Otto, P. T., & Yambartsev, A. (2021). Cross-multiplicative coalescent processes and applications. Latin American Journal of Probability and Mathematical Statistics, 18, 81-106. doi:10.30757/ALEA.V18-05
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      Kovchegov Y, Otto PT, Yambartsev A. Cross-multiplicative coalescent processes and applications [Internet]. Latin American Journal of Probability and Mathematical Statistics. 2021 ; 18 81-106.[citado 2024 abr. 24 ] Available from: https://doi.org/10.30757/ALEA.V18-05
    • Vancouver

      Kovchegov Y, Otto PT, Yambartsev A. Cross-multiplicative coalescent processes and applications [Internet]. Latin American Journal of Probability and Mathematical Statistics. 2021 ; 18 81-106.[citado 2024 abr. 24 ] Available from: https://doi.org/10.30757/ALEA.V18-05
  • Fonte: Markov Processes And Related Fields. Unidade: IME

    Assunto: PROCESSOS DE MARKOV

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      LOGACHOV, A. V et al. Local limits for string of frozen characters. Markov Processes And Related Fields, v. 26, n. 5, p. 885-900, 2020Tradução . . Disponível em: http://math-mprf.org/journal/articles/id1599/. Acesso em: 24 abr. 2024.
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      Logachov, A. V., Mogulsky, A. A., Prokopenko, E. I., & Iambartsev, A. (2020). Local limits for string of frozen characters. Markov Processes And Related Fields, 26( 5), 885-900. Recuperado de http://math-mprf.org/journal/articles/id1599/
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      Logachov AV, Mogulsky AA, Prokopenko EI, Iambartsev A. Local limits for string of frozen characters [Internet]. Markov Processes And Related Fields. 2020 ; 26( 5): 885-900.[citado 2024 abr. 24 ] Available from: http://math-mprf.org/journal/articles/id1599/
    • Vancouver

      Logachov AV, Mogulsky AA, Prokopenko EI, Iambartsev A. Local limits for string of frozen characters [Internet]. Markov Processes And Related Fields. 2020 ; 26( 5): 885-900.[citado 2024 abr. 24 ] Available from: http://math-mprf.org/journal/articles/id1599/
  • Fonte: Journal of Mathematical Physics. Unidade: IME

    Assunto: MECÂNICA ESTATÍSTICA

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      HERNANDEZ, Juan et al. Bounds on the critical line via transfer matrix methods for an Ising model coupled to causal dynamical triangulations. Journal of Mathematical Physics, v. 54, n. 6, p. 1-17, 2013Tradução . . Disponível em: https://doi.org/10.1063/1.4808101. Acesso em: 24 abr. 2024.
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      Hernandez, J., Suhov, Y., Iambartsev, A., & Zohren, S. (2013). Bounds on the critical line via transfer matrix methods for an Ising model coupled to causal dynamical triangulations. Journal of Mathematical Physics, 54( 6), 1-17. doi:10.1063/1.4808101
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      Hernandez J, Suhov Y, Iambartsev A, Zohren S. Bounds on the critical line via transfer matrix methods for an Ising model coupled to causal dynamical triangulations [Internet]. Journal of Mathematical Physics. 2013 ; 54( 6): 1-17.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1063/1.4808101
    • Vancouver

      Hernandez J, Suhov Y, Iambartsev A, Zohren S. Bounds on the critical line via transfer matrix methods for an Ising model coupled to causal dynamical triangulations [Internet]. Journal of Mathematical Physics. 2013 ; 54( 6): 1-17.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1063/1.4808101
  • Fonte: Nature Communications. Unidade: IME

    Assuntos: GENES, CARCINOMA, REGIÃO CERVICAL, BIOESTATÍSTICA

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      MINE, Karina L et al. Gene network reconstruction reveals cell cycle and antiviral genes as major drivers of cervical cancer. Nature Communications, v. 4, p. 1-11, 2013Tradução . . Disponível em: https://doi.org/10.1038/ncomms2693. Acesso em: 24 abr. 2024.
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      Mine, K. L., Shulzhenko, N., Iambartsev, A., Rochman, M., Sanson, G. F. O., Lando, M., et al. (2013). Gene network reconstruction reveals cell cycle and antiviral genes as major drivers of cervical cancer. Nature Communications, 4, 1-11. doi:10.1038/ncomms2693
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      Mine KL, Shulzhenko N, Iambartsev A, Rochman M, Sanson GFO, Lando M, Varma S, Skinner J, Volfovsky N, Deng T, Brenna SMF, Carvalho CRN de, Ribalta JCL, Bustin M, Matzinger P, Silva IDCG, Lyng H, Gerbase-Delima M, Morgun A. Gene network reconstruction reveals cell cycle and antiviral genes as major drivers of cervical cancer [Internet]. Nature Communications. 2013 ; 4 1-11.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1038/ncomms2693
    • Vancouver

      Mine KL, Shulzhenko N, Iambartsev A, Rochman M, Sanson GFO, Lando M, Varma S, Skinner J, Volfovsky N, Deng T, Brenna SMF, Carvalho CRN de, Ribalta JCL, Bustin M, Matzinger P, Silva IDCG, Lyng H, Gerbase-Delima M, Morgun A. Gene network reconstruction reveals cell cycle and antiviral genes as major drivers of cervical cancer [Internet]. Nature Communications. 2013 ; 4 1-11.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1038/ncomms2693
  • Fonte: Biology Direct. Unidade: IME

    Assuntos: GENES, VARIAÇÃO GENÉTICA, GENÉTICA ESTATÍSTICA

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      IAMBARTSEV, Anatoli et al. Unexpected links reflect the noise in networks. Biology Direct, v. 11, n. 1, p. 1-12, 2016Tradução . . Disponível em: https://doi.org/10.1186/s13062-016-0155-0. Acesso em: 24 abr. 2024.
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      Iambartsev, A., Perlin, M. A., Kovchegov, Y., Shulzhenko, N., Mine, K. L., Dong, X., & Morgun, A. (2016). Unexpected links reflect the noise in networks. Biology Direct, 11( 1), 1-12. doi:10.1186/s13062-016-0155-0
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      Iambartsev A, Perlin MA, Kovchegov Y, Shulzhenko N, Mine KL, Dong X, Morgun A. Unexpected links reflect the noise in networks [Internet]. Biology Direct. 2016 ; 11( 1): 1-12.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1186/s13062-016-0155-0
    • Vancouver

      Iambartsev A, Perlin MA, Kovchegov Y, Shulzhenko N, Mine KL, Dong X, Morgun A. Unexpected links reflect the noise in networks [Internet]. Biology Direct. 2016 ; 11( 1): 1-12.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1186/s13062-016-0155-0
  • Fonte: F1000Research. Unidade: IME

    Assunto: EXPRESSÃO GÊNICA

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      THOMAS, Lina Dornelas et al. Differentially correlated genes in co-expression networks control phenotype transitions. F1000Research, v. 5, p. 2740, 2016Tradução . . Disponível em: https://doi.org/10.12688%2Ff1000research.9708.1. Acesso em: 24 abr. 2024.
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      Thomas, L. D., Vyshenska, D., Shulzhenko, N., Iambartsev, A., & Morgun, A. (2016). Differentially correlated genes in co-expression networks control phenotype transitions. F1000Research, 5, 2740. doi:10.12688%2Ff1000research.9708.1
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      Thomas LD, Vyshenska D, Shulzhenko N, Iambartsev A, Morgun A. Differentially correlated genes in co-expression networks control phenotype transitions [Internet]. F1000Research. 2016 ; 5 2740.[citado 2024 abr. 24 ] Available from: https://doi.org/10.12688%2Ff1000research.9708.1
    • Vancouver

      Thomas LD, Vyshenska D, Shulzhenko N, Iambartsev A, Morgun A. Differentially correlated genes in co-expression networks control phenotype transitions [Internet]. F1000Research. 2016 ; 5 2740.[citado 2024 abr. 24 ] Available from: https://doi.org/10.12688%2Ff1000research.9708.1
  • Fonte: BMC Bioinformatics. Unidade: IME

    Assuntos: GENES, BIOESTATÍSTICA

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      SKINNER, Jeff et al. Construct and compare gene coexpression networks with DAPfinder and DAPview. BMC Bioinformatics, v. 12, n. 1, p. 286, 2011Tradução . . Disponível em: https://doi.org/10.1186/1471-2105-12-286. Acesso em: 24 abr. 2024.
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      Skinner, J., Kotliarov, Y., Varma, S., Mine, K. L., Iambartsev, A., Simon, R., et al. (2011). Construct and compare gene coexpression networks with DAPfinder and DAPview. BMC Bioinformatics, 12( 1), 286. doi:10.1186/1471-2105-12-286
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      Skinner J, Kotliarov Y, Varma S, Mine KL, Iambartsev A, Simon R, Huyen Y, Morgun A. Construct and compare gene coexpression networks with DAPfinder and DAPview [Internet]. BMC Bioinformatics. 2011 ; 12( 1): 286.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1186/1471-2105-12-286
    • Vancouver

      Skinner J, Kotliarov Y, Varma S, Mine KL, Iambartsev A, Simon R, Huyen Y, Morgun A. Construct and compare gene coexpression networks with DAPfinder and DAPview [Internet]. BMC Bioinformatics. 2011 ; 12( 1): 286.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1186/1471-2105-12-286
  • Fonte: Statistics & Probability Letters. Unidade: IME

    Assuntos: GRANDES DESVIOS, TEOREMAS LIMITES

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    • ABNT

      LOGACHOV, A. e LOGACHOVA, O. e YAMBARTSEV, Anatoli. Large deviations in a population dynamics with catastrophes. Statistics & Probability Letters, v. 149, p. 29-37, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.spl.2019.01.029. Acesso em: 24 abr. 2024.
    • APA

      Logachov, A., Logachova, O., & Yambartsev, A. (2019). Large deviations in a population dynamics with catastrophes. Statistics & Probability Letters, 149, 29-37. doi:10.1016/j.spl.2019.01.029
    • NLM

      Logachov A, Logachova O, Yambartsev A. Large deviations in a population dynamics with catastrophes [Internet]. Statistics & Probability Letters. 2019 ; 149 29-37.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.spl.2019.01.029
    • Vancouver

      Logachov A, Logachova O, Yambartsev A. Large deviations in a population dynamics with catastrophes [Internet]. Statistics & Probability Letters. 2019 ; 149 29-37.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.spl.2019.01.029
  • Fonte: IEEE/ACM Transactions on Computational Biology and Bioinformatics. Unidade: IME

    Assuntos: BIOINFORMÁTICA, ESTATÍSTICA APLICADA

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    • ABNT

      CHUNIKHINA, Evgenia et al. The C-SHIFT algorithm for normalizing covariances. IEEE/ACM Transactions on Computational Biology and Bioinformatics, v. 20, n. 1, p. 720-730, 2023Tradução . . Disponível em: https://doi.org/10.1109/TCBB.2022.3151840. Acesso em: 24 abr. 2024.
    • APA

      Chunikhina, E., Logan, P., Kovchegov, Y., Iambartsev, A., Mondal, D., & Morgun, A. (2023). The C-SHIFT algorithm for normalizing covariances. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20( 1), 720-730. doi:10.1109/TCBB.2022.3151840
    • NLM

      Chunikhina E, Logan P, Kovchegov Y, Iambartsev A, Mondal D, Morgun A. The C-SHIFT algorithm for normalizing covariances [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2023 ; 20( 1): 720-730.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1109/TCBB.2022.3151840
    • Vancouver

      Chunikhina E, Logan P, Kovchegov Y, Iambartsev A, Mondal D, Morgun A. The C-SHIFT algorithm for normalizing covariances [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2023 ; 20( 1): 720-730.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1109/TCBB.2022.3151840

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