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Artigo de periodico
The C-SHIFT algorithm for normalizing covariances (2023)
Chunikhina, Evgenia ; Logan, Paul; Kovchegov, Yevgeniy ; Iambartsev, Anatoli ; Mondal, Debashis ; Morgun, Andrey
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: 03 out. 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 out. 03 ] 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 out. 03 ] Available from: https://doi.org/10.1109/TCBB.2022.3151840
Artigo de periodico
Population-based change-point detection for the identification of homozygosity islands (2023)
Prates, Lucas de Oliveira; Lemes, Renan Barbosa ; Hünemeier, Tábita ; Leonardi, Florencia Graciela
Fonte: Bioinformatics. Unidades: IB, IME
Assunto: BIOINFORMÁTICA
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ABNT
PRATES, Lucas de Oliveira et al. Population-based change-point detection for the identification of homozygosity islands. Bioinformatics, v. 39, n. 4, p. 1-8, 2023Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/btad170. Acesso em: 03 out. 2024.
APA
Prates, L. de O., Lemes, R. B., Hünemeier, T., & Leonardi, F. G. (2023). Population-based change-point detection for the identification of homozygosity islands. Bioinformatics, 39( 4), 1-8. doi:10.1093/bioinformatics/btad170
NLM
Prates L de O, Lemes RB, Hünemeier T, Leonardi FG. Population-based change-point detection for the identification of homozygosity islands [Internet]. Bioinformatics. 2023 ; 39( 4): 1-8.[citado 2024 out. 03 ] Available from: https://doi.org/10.1093/bioinformatics/btad170
Vancouver
Prates L de O, Lemes RB, Hünemeier T, Leonardi FG. Population-based change-point detection for the identification of homozygosity islands [Internet]. Bioinformatics. 2023 ; 39( 4): 1-8.[citado 2024 out. 03 ] Available from: https://doi.org/10.1093/bioinformatics/btad170
Artigo de periodico
Noninvasive prenatal paternity determination using microhaplotypes: a pilot study (2020)
Wang, Jaqueline Yu Ting; Whittle, Martin R. ; Puga, Renato David ; Yambartsev, Anatoli ; Fujita, André ; Nakaya, Helder Takashi Imoto
Fonte: BMC Medical Genomics. Unidades: IME, FCF, BIOINFORMÁTICA
Assuntos: DIAGNÓSTICO PRÉ-NATAL, PATERNIDADE, BIOINFORMÁTICA, HAPLOTIPOS
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ABNT
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: 03 out. 2024.
APA
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. 03 ] 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. 03 ] Available from: https://doi.org/10.1186/s12920-020-00806-w
Parte de monografia/livro
ANOCVA: a nonparametric statistical test to compare clustering structures (2018)
Patriota, Alexandre Galvão ; Vidal, Maciel Calebe; Jesus, Davi Augusto Caetano de; Fujita, André
Fonte: Theoretical and applied aspects of systems biology. Unidade: IME
Assuntos: BIOINFORMÁTICA, BIOESTATÍSTICA
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ABNT
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: 03 out. 2024.
APA
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. 03 ] 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. 03 ] Available from: https://doi.org/10.1007/978-3-319-74974-7_6
Parte de monografia/livro
Causal inference and structure learning of genotype–phenotype networks using genetic variation (2016)
Ribeiro, Adele Helena; Soler, Júlia Maria Pavan ; Chaibub Neto, Elias; Fujita, André
Fonte: Big data analytics in genomics. Unidade: IME
Assuntos: BIOINFORMÁTICA, VARIAÇÃO GENÉTICA, GENÓTIPOS
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ABNT
RIBEIRO, Adele Helena et al. Causal inference and structure learning of genotype–phenotype networks using genetic variation. Big data analytics in genomics. Tradução . Cham: Springer, 2016. . Disponível em: https://doi.org/10.1007/978-3-319-41279-5_3. Acesso em: 03 out. 2024.
APA
Ribeiro, A. H., Soler, J. M. P., Chaibub Neto, E., & Fujita, A. (2016). Causal inference and structure learning of genotype–phenotype networks using genetic variation. In Big data analytics in genomics. Cham: Springer. doi:10.1007/978-3-319-41279-5_3
NLM
Ribeiro AH, Soler JMP, Chaibub Neto E, Fujita A. Causal inference and structure learning of genotype–phenotype networks using genetic variation [Internet]. In: Big data analytics in genomics. Cham: Springer; 2016. [citado 2024 out. 03 ] Available from: https://doi.org/10.1007/978-3-319-41279-5_3
Vancouver
Ribeiro AH, Soler JMP, Chaibub Neto E, Fujita A. Causal inference and structure learning of genotype–phenotype networks using genetic variation [Internet]. In: Big data analytics in genomics. Cham: Springer; 2016. [citado 2024 out. 03 ] Available from: https://doi.org/10.1007/978-3-319-41279-5_3
Artigo de periodico
A provenance model based on declarative specifications for intensive data analyses in hemotherapy information systems (2016)
Almeida, Fernanda Nascimento; Tunes, Gisela ; Costa, Julio Cesar Brettas da; Sabino, Ester Cerdeira; Mendrone Júnior, Alfredo; Ferreira, João Eduardo
Fonte: Future Generation Computer Systems. Unidades: IME, FM
Assuntos: BIOINFORMÁTICA, ANEMIA, DOADORES DE SANGUE
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ABNT
ALMEIDA, Fernanda Nascimento et al. A provenance model based on declarative specifications for intensive data analyses in hemotherapy information systems. Future Generation Computer Systems, v. 59, p. 105-113, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.future.2015.09.019. Acesso em: 03 out. 2024.
APA
Almeida, F. N., Tunes, G., Costa, J. C. B. da, Sabino, E. C., Mendrone Júnior, A., & Ferreira, J. E. (2016). A provenance model based on declarative specifications for intensive data analyses in hemotherapy information systems. Future Generation Computer Systems, 59, 105-113. doi:10.1016/j.future.2015.09.019
NLM
Almeida FN, Tunes G, Costa JCB da, Sabino EC, Mendrone Júnior A, Ferreira JE. A provenance model based on declarative specifications for intensive data analyses in hemotherapy information systems [Internet]. Future Generation Computer Systems. 2016 ; 59 105-113.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.future.2015.09.019
Vancouver
Almeida FN, Tunes G, Costa JCB da, Sabino EC, Mendrone Júnior A, Ferreira JE. A provenance model based on declarative specifications for intensive data analyses in hemotherapy information systems [Internet]. Future Generation Computer Systems. 2016 ; 59 105-113.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.future.2015.09.019
Artigo de periodico
A non-parametric method to estimate the number of clusters (2014)
Fujita, André ; Takahashi, Daniel Yasumasa ; Patriota, Alexandre Galvão
Fonte: Computational Statistics & Data Analysis. Unidade: IME
Assuntos: BIOINFORMÁTICA, ESTATÍSTICA COMPUTACIONAL, ANÁLISE DE CONGLOMERADOS, ANÁLISE ESPECTRAL (ANÁLISE DE SÉRIES TEMPORAIS), HEURÍSTICA
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ABNT
FUJITA, André e TAKAHASHI, Daniel Yasumasa e PATRIOTA, Alexandre Galvão. A non-parametric method to estimate the number of clusters. Computational Statistics & Data Analysis, v. 73, p. 27-39, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.csda.2013.11.012. Acesso em: 03 out. 2024.
APA
Fujita, A., Takahashi, D. Y., & Patriota, A. G. (2014). A non-parametric method to estimate the number of clusters. Computational Statistics & Data Analysis, 73, 27-39. doi:10.1016/j.csda.2013.11.012
NLM
Fujita A, Takahashi DY, Patriota AG. A non-parametric method to estimate the number of clusters [Internet]. Computational Statistics & Data Analysis. 2014 ; 73 27-39.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.csda.2013.11.012
Vancouver
Fujita A, Takahashi DY, Patriota AG. A non-parametric method to estimate the number of clusters [Internet]. Computational Statistics & Data Analysis. 2014 ; 73 27-39.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.csda.2013.11.012
Trabalho de evento
A provenance model based on declarative specifications for intensive data analyses in hemotherapy information systems (2014)
Almeida, Fernanda Nascimento; Tunes, Gisela ; Sabino, Ester Cerdeira; Mendrone Júnior, Alfredo; Ferreira, João Eduardo
Fonte: Proceedings. Nome do evento: IEEE International Conference on e-Science. Unidades: IME, FM
Assuntos: BIOINFORMÁTICA, ANEMIA, DOADORES DE SANGUE
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ABNT
ALMEIDA, Fernanda Nascimento et al. A provenance model based on declarative specifications for intensive data analyses in hemotherapy information systems. 2014, Anais.. Los Alamitos: IEEE, 2014. Disponível em: https://doi.org/10.1109/eScience.2014.28. Acesso em: 03 out. 2024.
APA
Almeida, F. N., Tunes, G., Sabino, E. C., Mendrone Júnior, A., & Ferreira, J. E. (2014). A provenance model based on declarative specifications for intensive data analyses in hemotherapy information systems. In Proceedings. Los Alamitos: IEEE. doi:10.1109/eScience.2014.28
NLM
Almeida FN, Tunes G, Sabino EC, Mendrone Júnior A, Ferreira JE. A provenance model based on declarative specifications for intensive data analyses in hemotherapy information systems [Internet]. Proceedings. 2014 ;[citado 2024 out. 03 ] Available from: https://doi.org/10.1109/eScience.2014.28
Vancouver
Almeida FN, Tunes G, Sabino EC, Mendrone Júnior A, Ferreira JE. A provenance model based on declarative specifications for intensive data analyses in hemotherapy information systems [Internet]. Proceedings. 2014 ;[citado 2024 out. 03 ] Available from: https://doi.org/10.1109/eScience.2014.28
Artigo de periodico
Significance test for comparing digital gene expression profiles: partial likelihood application (2010)
Varuzza, Leonardo; Pereira, Carlos Alberto de Bragança
Fonte: Chilean Journal of Statistics. Unidade: IME
Assuntos: TESTES DE HIPÓTESES, BIOINFORMÁTICA
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ABNT
VARUZZA, Leonardo e PEREIRA, Carlos Alberto de Bragança. Significance test for comparing digital gene expression profiles: partial likelihood application. Chilean Journal of Statistics, v. 1, n. 1, p. 91-102, 2010Tradução . . Disponível em: http://chjs.mat.utfsm.cl/volumes/01/01/Varuzza_Pereira(2010).pdf. Acesso em: 03 out. 2024.
APA
Varuzza, L., & Pereira, C. A. de B. (2010). Significance test for comparing digital gene expression profiles: partial likelihood application. Chilean Journal of Statistics, 1( 1), 91-102. Recuperado de http://chjs.mat.utfsm.cl/volumes/01/01/Varuzza_Pereira(2010).pdf
NLM
Varuzza L, Pereira CA de B. Significance test for comparing digital gene expression profiles: partial likelihood application [Internet]. Chilean Journal of Statistics. 2010 ; 1( 1): 91-102.[citado 2024 out. 03 ] Available from: http://chjs.mat.utfsm.cl/volumes/01/01/Varuzza_Pereira(2010).pdf
Vancouver
Varuzza L, Pereira CA de B. Significance test for comparing digital gene expression profiles: partial likelihood application [Internet]. Chilean Journal of Statistics. 2010 ; 1( 1): 91-102.[citado 2024 out. 03 ] Available from: http://chjs.mat.utfsm.cl/volumes/01/01/Varuzza_Pereira(2010).pdf
Artigo de periodico
The full Bayesian significance test for mixture models: results in gene expression clustering (2008)
Lauretto, Marcelo de Souza; Pereira, Carlos Alberto de Bragança ; Stern, Julio Michael
Fonte: Genetics and Molecular Research. Unidade: IME
Assuntos: TESTES DE HIPÓTESES, BIOINFORMÁTICA
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ABNT
LAURETTO, Marcelo de Souza e PEREIRA, Carlos Alberto de Bragança e STERN, Julio Michael. The full Bayesian significance test for mixture models: results in gene expression clustering. Genetics and Molecular Research, v. 7, n. 3, p. 883-897, 2008Tradução . . Disponível em: https://doi.org/10.4238/vol7-3x-meeting06. Acesso em: 03 out. 2024.
APA
Lauretto, M. de S., Pereira, C. A. de B., & Stern, J. M. (2008). The full Bayesian significance test for mixture models: results in gene expression clustering. Genetics and Molecular Research, 7( 3), 883-897. doi:10.4238/vol7-3x-meeting06
NLM
Lauretto M de S, Pereira CA de B, Stern JM. The full Bayesian significance test for mixture models: results in gene expression clustering [Internet]. Genetics and Molecular Research. 2008 ; 7( 3): 883-897.[citado 2024 out. 03 ] Available from: https://doi.org/10.4238/vol7-3x-meeting06
Vancouver
Lauretto M de S, Pereira CA de B, Stern JM. The full Bayesian significance test for mixture models: results in gene expression clustering [Internet]. Genetics and Molecular Research. 2008 ; 7( 3): 883-897.[citado 2024 out. 03 ] Available from: https://doi.org/10.4238/vol7-3x-meeting06
Artigo de periodico
Searching for molecular markers in head and neck squamous cell carcinomas (HNSCC) by statistical and bioinformatic analysis of larynx-derived SAGE libraries (2008)
Silveira, Nelson J. F.; Varuzza, Leonardo; Lima, Ariane Machado ; Lauretto, Marcelo de Souza ; Pinheiro, Daniel G.; Rodrigues, Rodrigo V.; Severino, Patrícia; Nobrega, Francisco G.; Leopoldino, Andréia Machado ; Mamede, Rui Celso Martins; Neder, Luciano ; Nunes, Fabio Daumas ; Ojopi, Elida Paula Benquique; Sousa, Suzana Cantanhede Orsini Machado de; Wunsch Filho, Victor ; Zago, Marco Antonio ; Brandao, Lenine Garcia ; Ferraz, Alberto Rossetti; Silva Filho, Gilberto de Britto e; Silva Junior, Wilson Araújo da ; Pereira, Carlos Alberto de Bragança ; Tajara, Eloiza H.
Fonte: BMC Medical Genomics. Unidades: FMRP, IME, FCFRP, FO, FM, FSP
Assuntos: BIOINFORMÁTICA, CARCINOMA DE CÉLULAS ESCAMOSAS
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ABNT
SILVEIRA, Nelson J. F. et al. Searching for molecular markers in head and neck squamous cell carcinomas (HNSCC) by statistical and bioinformatic analysis of larynx-derived SAGE libraries. BMC Medical Genomics, v. 1, n. 56, p. 1-17, 2008Tradução . . Disponível em: https://doi.org/10.1186/1755-8794-1-56. Acesso em: 03 out. 2024.
APA
Silveira, N. J. F., Varuzza, L., Lima, A. M., Lauretto, M. de S., Pinheiro, D. G., Rodrigues, R. V., et al. (2008). Searching for molecular markers in head and neck squamous cell carcinomas (HNSCC) by statistical and bioinformatic analysis of larynx-derived SAGE libraries. BMC Medical Genomics, 1( 56), 1-17. doi:10.1186/1755-8794-1-56
NLM
Silveira NJF, Varuzza L, Lima AM, Lauretto M de S, Pinheiro DG, Rodrigues RV, Severino P, Nobrega FG, Leopoldino AM, Mamede RCM, Neder L, Nunes FD, Ojopi EPB, Sousa SCOM de, Wunsch Filho V, Zago MA, Brandao LG, Ferraz AR, Silva Filho G de B e, Silva Junior WA da, Pereira CA de B, Tajara EH. Searching for molecular markers in head and neck squamous cell carcinomas (HNSCC) by statistical and bioinformatic analysis of larynx-derived SAGE libraries [Internet]. BMC Medical Genomics. 2008 ; 1( 56): 1-17.[citado 2024 out. 03 ] Available from: https://doi.org/10.1186/1755-8794-1-56
Vancouver
Silveira NJF, Varuzza L, Lima AM, Lauretto M de S, Pinheiro DG, Rodrigues RV, Severino P, Nobrega FG, Leopoldino AM, Mamede RCM, Neder L, Nunes FD, Ojopi EPB, Sousa SCOM de, Wunsch Filho V, Zago MA, Brandao LG, Ferraz AR, Silva Filho G de B e, Silva Junior WA da, Pereira CA de B, Tajara EH. Searching for molecular markers in head and neck squamous cell carcinomas (HNSCC) by statistical and bioinformatic analysis of larynx-derived SAGE libraries [Internet]. BMC Medical Genomics. 2008 ; 1( 56): 1-17.[citado 2024 out. 03 ] Available from: https://doi.org/10.1186/1755-8794-1-56
Parte de monografia/livro
Constructing probabilistic genetic networks of plasmodium falciparum from dynamical expression signals of the intraerythrocytic development cycle (2007)
Barrera, Júnior; César Júnior, Roberto Marcondes ; Martins Júnior, David Correa; Vêncio, Ricardo Zorzetto Nicoliello; Merino, Emilio F; Yamamoto, Marcio Massao; Leonardi, Florencia Graciela ; Pereira, Carlos Alberto de Bragança ; Portillo, Hernando A del
Fonte: Methods of microarray data analysis V. Unidades: IME, ICB
Assuntos: PROBABILIDADE, COMPUTAÇÃO APLICADA, BIOINFORMÁTICA
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ABNT
BARRERA, Júnior et al. Constructing probabilistic genetic networks of plasmodium falciparum from dynamical expression signals of the intraerythrocytic development cycle. Methods of microarray data analysis V. Tradução . New York: Springer, 2007. . Disponível em: https://doi.org/10.1007/978-0-387-34569-7_2. Acesso em: 03 out. 2024.
APA
Barrera, J., César Júnior, R. M., Martins Júnior, D. C., Vêncio, R. Z. N., Merino, E. F., Yamamoto, M. M., et al. (2007). Constructing probabilistic genetic networks of plasmodium falciparum from dynamical expression signals of the intraerythrocytic development cycle. In Methods of microarray data analysis V. New York: Springer. doi:10.1007/978-0-387-34569-7_2
NLM
Barrera J, César Júnior RM, Martins Júnior DC, Vêncio RZN, Merino EF, Yamamoto MM, Leonardi FG, Pereira CA de B, Portillo HA del. Constructing probabilistic genetic networks of plasmodium falciparum from dynamical expression signals of the intraerythrocytic development cycle [Internet]. In: Methods of microarray data analysis V. New York: Springer; 2007. [citado 2024 out. 03 ] Available from: https://doi.org/10.1007/978-0-387-34569-7_2
Vancouver
Barrera J, César Júnior RM, Martins Júnior DC, Vêncio RZN, Merino EF, Yamamoto MM, Leonardi FG, Pereira CA de B, Portillo HA del. Constructing probabilistic genetic networks of plasmodium falciparum from dynamical expression signals of the intraerythrocytic development cycle [Internet]. In: Methods of microarray data analysis V. New York: Springer; 2007. [citado 2024 out. 03 ] Available from: https://doi.org/10.1007/978-0-387-34569-7_2
Artigo de periodico
BayGO: Bayesian analysis of ontology term enrichment in microarray data (2006)
Vêncio, Ricardo Zorzetto Nicoliello; Koide, Tie; Gomes, Suely Lopes ; Pereira, Carlos Alberto de Bragança
Fonte: BMC Bioinformatics. Unidades: IQ, IME, BIOINFORMÁTICA
Assunto: BIOINFORMÁTICA
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ABNT
VÊNCIO, Ricardo Zorzetto Nicoliello et al. BayGO: Bayesian analysis of ontology term enrichment in microarray data. BMC Bioinformatics, v. 7, 2006Tradução . . Disponível em: https://doi.org/10.1186/1471-2105-7-86. Acesso em: 03 out. 2024.
APA
Vêncio, R. Z. N., Koide, T., Gomes, S. L., & Pereira, C. A. de B. (2006). BayGO: Bayesian analysis of ontology term enrichment in microarray data. BMC Bioinformatics, 7. doi:10.1186/1471-2105-7-86
NLM
Vêncio RZN, Koide T, Gomes SL, Pereira CA de B. BayGO: Bayesian analysis of ontology term enrichment in microarray data [Internet]. BMC Bioinformatics. 2006 ; 7[citado 2024 out. 03 ] Available from: https://doi.org/10.1186/1471-2105-7-86
Vancouver
Vêncio RZN, Koide T, Gomes SL, Pereira CA de B. BayGO: Bayesian analysis of ontology term enrichment in microarray data [Internet]. BMC Bioinformatics. 2006 ; 7[citado 2024 out. 03 ] Available from: https://doi.org/10.1186/1471-2105-7-86
Artigo de periodico
BayBoots: a model-free Bayesian tool to identify class markers from gene expression data (2006)
Vêncio, Ricardo Zorzetto Nicoliello ; Patrão, Diogo F. C. ; Baptista, Cassio S. ; Pereira, Carlos Alberto de Bragança ; Zingales, Bianca
Fonte: Genetics and Molecular Research. Unidades: IME, IQ, BIOINFORMÁTICA
Assuntos: INFERÊNCIA BAYESIANA, BIOINFORMÁTICA
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ABNT
VÊNCIO, Ricardo Zorzetto Nicoliello et al. BayBoots: a model-free Bayesian tool to identify class markers from gene expression data. Genetics and Molecular Research, v. 5, n. 1, p. 138-142, 2006Tradução . . Disponível em: https://www.geneticsmr.com/articles/252. Acesso em: 03 out. 2024.
APA
Vêncio, R. Z. N., Patrão, D. F. C., Baptista, C. S., Pereira, C. A. de B., & Zingales, B. (2006). BayBoots: a model-free Bayesian tool to identify class markers from gene expression data. Genetics and Molecular Research, 5( 1), 138-142. Recuperado de https://www.geneticsmr.com/articles/252
NLM
Vêncio RZN, Patrão DFC, Baptista CS, Pereira CA de B, Zingales B. BayBoots: a model-free Bayesian tool to identify class markers from gene expression data [Internet]. Genetics and Molecular Research. 2006 ; 5( 1): 138-142.[citado 2024 out. 03 ] Available from: https://www.geneticsmr.com/articles/252
Vancouver
Vêncio RZN, Patrão DFC, Baptista CS, Pereira CA de B, Zingales B. BayBoots: a model-free Bayesian tool to identify class markers from gene expression data [Internet]. Genetics and Molecular Research. 2006 ; 5( 1): 138-142.[citado 2024 out. 03 ] Available from: https://www.geneticsmr.com/articles/252
Trabalho de evento
Sequence motif identification and protein family classification using probabilistic trees (2005)
Leonardi, Florencia Graciela ; Galves, Antonio
Fonte: Proceedings. Nome do evento: Brazilian Symposium on Bioinformatics - BSB. Unidades: IME, BIOINFORMÁTICA
Assuntos: PROBABILIDADE, BIOINFORMÁTICA
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ABNT
LEONARDI, Florencia Graciela e GALVES, Antonio. Sequence motif identification and protein family classification using probabilistic trees. 2005, Anais.. Berlin: Springer, 2005. Disponível em: https://doi.org/10.1007/11532323_20. Acesso em: 03 out. 2024.
APA
Leonardi, F. G., & Galves, A. (2005). Sequence motif identification and protein family classification using probabilistic trees. In Proceedings. Berlin: Springer. doi:10.1007/11532323_20
NLM
Leonardi FG, Galves A. Sequence motif identification and protein family classification using probabilistic trees [Internet]. Proceedings. 2005 ;[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/11532323_20
Vancouver
Leonardi FG, Galves A. Sequence motif identification and protein family classification using probabilistic trees [Internet]. Proceedings. 2005 ;[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/11532323_20
Artigo de periodico
Bayesian model accounting for within-class biological variability in serial analysis of gene expression (2004)
Vêncio, Ricardo Zorzetto Nicoliello ; Brentani, Helena ; Patrão, Diogo F.C. ; Pereira, Carlos Alberto de Bragança
Fonte: BMC Bioinformatics. Unidade: IME
Assuntos: INFERÊNCIA BAYESIANA, BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VÊNCIO, Ricardo Zorzetto Nicoliello et al. Bayesian model accounting for within-class biological variability in serial analysis of gene expression. BMC Bioinformatics, v. 5, n. 1, p. 1-13, 2004Tradução . . Disponível em: https://doi.org/10.1186/1471-2105-5-119. Acesso em: 03 out. 2024.
APA
Vêncio, R. Z. N., Brentani, H., Patrão, D. F. C., & Pereira, C. A. de B. (2004). Bayesian model accounting for within-class biological variability in serial analysis of gene expression. BMC Bioinformatics, 5( 1), 1-13. doi:10.1186/1471-2105-5-119
NLM
Vêncio RZN, Brentani H, Patrão DFC, Pereira CA de B. Bayesian model accounting for within-class biological variability in serial analysis of gene expression [Internet]. BMC Bioinformatics. 2004 ; 5( 1): 1-13.[citado 2024 out. 03 ] Available from: https://doi.org/10.1186/1471-2105-5-119
Vancouver
Vêncio RZN, Brentani H, Patrão DFC, Pereira CA de B. Bayesian model accounting for within-class biological variability in serial analysis of gene expression [Internet]. BMC Bioinformatics. 2004 ; 5( 1): 1-13.[citado 2024 out. 03 ] Available from: https://doi.org/10.1186/1471-2105-5-119
Relatorio tecnico
Model selection and regularization: full Bayesian approach (2000)
Pereira, Carlos Alberto de Bragança ; Stern, Julio Michael
Unidade: IME
Assuntos: BIOINFORMÁTICA, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEREIRA, Carlos Alberto de Bragança e STERN, Julio Michael. Model selection and regularization: full Bayesian approach. . São Paulo: IME-USP. Disponível em: https://repositorio.usp.br/directbitstream/a6ce7c68-ac61-46e2-88f1-983383609e86/1473303.pdf. Acesso em: 03 out. 2024. , 2000
APA
Pereira, C. A. de B., & Stern, J. M. (2000). Model selection and regularization: full Bayesian approach. São Paulo: IME-USP. Recuperado de https://repositorio.usp.br/directbitstream/a6ce7c68-ac61-46e2-88f1-983383609e86/1473303.pdf
NLM
Pereira CA de B, Stern JM. Model selection and regularization: full Bayesian approach [Internet]. 2000 ;[citado 2024 out. 03 ] Available from: https://repositorio.usp.br/directbitstream/a6ce7c68-ac61-46e2-88f1-983383609e86/1473303.pdf
Vancouver
Pereira CA de B, Stern JM. Model selection and regularization: full Bayesian approach [Internet]. 2000 ;[citado 2024 out. 03 ] Available from: https://repositorio.usp.br/directbitstream/a6ce7c68-ac61-46e2-88f1-983383609e86/1473303.pdf
Relatorio tecnico
Environmental genetoxicity evaluation using cytogenetic end-points in wild rodents (2000)
Bueno, Ângela Maria de Souza; Pereira, Carlos Alberto de Bragança ; Rabello-Gay, Maria Nazareth
Unidade: IME
Assunto: BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BUENO, Ângela Maria de Souza e PEREIRA, Carlos Alberto de Bragança e RABELLO-GAY, Maria Nazareth. Environmental genetoxicity evaluation using cytogenetic end-points in wild rodents. . São Paulo: IME-USP. Disponível em: https://repositorio.usp.br/directbitstream/1c757d8e-883f-48fe-ae40-b76205561a93/1473328.pdf. Acesso em: 03 out. 2024. , 2000
APA
Bueno, Â. M. de S., Pereira, C. A. de B., & Rabello-Gay, M. N. (2000). Environmental genetoxicity evaluation using cytogenetic end-points in wild rodents. São Paulo: IME-USP. Recuperado de https://repositorio.usp.br/directbitstream/1c757d8e-883f-48fe-ae40-b76205561a93/1473328.pdf
NLM
Bueno ÂM de S, Pereira CA de B, Rabello-Gay MN. Environmental genetoxicity evaluation using cytogenetic end-points in wild rodents [Internet]. 2000 ;[citado 2024 out. 03 ] Available from: https://repositorio.usp.br/directbitstream/1c757d8e-883f-48fe-ae40-b76205561a93/1473328.pdf
Vancouver
Bueno ÂM de S, Pereira CA de B, Rabello-Gay MN. Environmental genetoxicity evaluation using cytogenetic end-points in wild rodents [Internet]. 2000 ;[citado 2024 out. 03 ] Available from: https://repositorio.usp.br/directbitstream/1c757d8e-883f-48fe-ae40-b76205561a93/1473328.pdf

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