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Trabalho de evento-anais periodico
Topological characterization of cancer driver genes using reactome super pathways networks (2021)
Ramos, Rodrigo Henrique ; Cutigi, Jorge Francisco ; Ferreira, Cynthia de Oliveira Lage ; Simão, Adenilso da Silva
Source: Lecture Notes in Bioinformatics. Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidade: ICMC
Subjects: NEOPLASIAS, BIOINFORMÁTICA, REDES COMPLEXAS, TOPOLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMOS, Rodrigo Henrique et al. Topological characterization of cancer driver genes using reactome super pathways networks. Lecture Notes in Bioinformatics. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91814-9_3. Acesso em: 21 nov. 2025. , 2021
APA
Ramos, R. H., Cutigi, J. F., Ferreira, C. de O. L., & Simão, A. da S. (2021). Topological characterization of cancer driver genes using reactome super pathways networks. Lecture Notes in Bioinformatics. Cham: Springer. doi:10.1007/978-3-030-91814-9_3
NLM
Ramos RH, Cutigi JF, Ferreira C de OL, Simão A da S. Topological characterization of cancer driver genes using reactome super pathways networks [Internet]. Lecture Notes in Bioinformatics. 2021 ; 13063 26-37.[citado 2025 nov. 21 ] Available from: https://doi.org/10.1007/978-3-030-91814-9_3
Vancouver
Ramos RH, Cutigi JF, Ferreira C de OL, Simão A da S. Topological characterization of cancer driver genes using reactome super pathways networks [Internet]. Lecture Notes in Bioinformatics. 2021 ; 13063 26-37.[citado 2025 nov. 21 ] Available from: https://doi.org/10.1007/978-3-030-91814-9_3
Trabalho de evento-anais periodico
An extensible framework for genomic and metagenomic analysis (2014)
Digiampietri, Luciano Antonio ; Pereira, Vivian Mayumi Yamassaki; Costa, Camila I.; Santos Júnior, Geraldo Jose dos; Stefanini, Fernando M.; Santiago, Caio Rafael do Nascimento
Source: Lecture Notes in Bioinformatics. Conference titles: Brazilian Symposium on Bioinformatics. Unidade: EACH
Subjects: BIOINFORMÁTICA, GENOMAS, GENÔMICA, FRAMEWORKS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DIGIAMPIETRI, Luciano Antonio et al. An extensible framework for genomic and metagenomic analysis. Lecture Notes in Bioinformatics. Cham: Escola de Artes, Ciências e Humanidades, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-319-12418-6_1. Acesso em: 21 nov. 2025. , 2014
APA
Digiampietri, L. A., Pereira, V. M. Y., Costa, C. I., Santos Júnior, G. J. dos, Stefanini, F. M., & Santiago, C. R. do N. (2014). An extensible framework for genomic and metagenomic analysis. Lecture Notes in Bioinformatics. Cham: Escola de Artes, Ciências e Humanidades, Universidade de São Paulo. doi:10.1007/978-3-319-12418-6_1
NLM
Digiampietri LA, Pereira VMY, Costa CI, Santos Júnior GJ dos, Stefanini FM, Santiago CR do N. An extensible framework for genomic and metagenomic analysis [Internet]. Lecture Notes in Bioinformatics. 2014 ; 8826 1-8.[citado 2025 nov. 21 ] Available from: https://doi.org/10.1007/978-3-319-12418-6_1
Vancouver
Digiampietri LA, Pereira VMY, Costa CI, Santos Júnior GJ dos, Stefanini FM, Santiago CR do N. An extensible framework for genomic and metagenomic analysis [Internet]. Lecture Notes in Bioinformatics. 2014 ; 8826 1-8.[citado 2025 nov. 21 ] Available from: https://doi.org/10.1007/978-3-319-12418-6_1
Trabalho de evento-anais periodico
Evaluating correlation coefficients for clustering gene expression profiles of cancer (2012)
Jaskowiak, Pablo A; Campello, Ricardo José Gabrielli Barreto; Costa, Ivan G
Source: Lecture Notes in Bioinformatics. Conference titles: Brazilian Symposium on Bioinformatics : Advances in Bioinformatics and Computational Biology - BSB. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JASKOWIAK, Pablo A e CAMPELLO, Ricardo José Gabrielli Barreto e COSTA, Ivan G. Evaluating correlation coefficients for clustering gene expression profiles of cancer. Lecture Notes in Bioinformatics. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-31927-3. Acesso em: 21 nov. 2025. , 2012
APA
Jaskowiak, P. A., Campello, R. J. G. B., & Costa, I. G. (2012). Evaluating correlation coefficients for clustering gene expression profiles of cancer. Lecture Notes in Bioinformatics. Berlin: Springer-Verlag. doi:10.1007/978-3-642-31927-3
NLM
Jaskowiak PA, Campello RJGB, Costa IG. Evaluating correlation coefficients for clustering gene expression profiles of cancer [Internet]. Lecture Notes in Bioinformatics. 2012 ; 7409 120-131.[citado 2025 nov. 21 ] Available from: https://doi.org/10.1007/978-3-642-31927-3
Vancouver
Jaskowiak PA, Campello RJGB, Costa IG. Evaluating correlation coefficients for clustering gene expression profiles of cancer [Internet]. Lecture Notes in Bioinformatics. 2012 ; 7409 120-131.[citado 2025 nov. 21 ] Available from: https://doi.org/10.1007/978-3-642-31927-3
Trabalho de evento-anais periodico
Efficiently querying protein sequences with the Proteinus index (2011)
Louza, Felipe Alves da; Ciferri, Ricardo Rodrigues; Ciferri, Cristina Dutra de Aguiar
Source: Lecture Notes in Bioinformatics. Conference titles: Brazilian Symposium on Bioinformatics : Advances in Bioinformatics and Computational Biology - BSB. Unidade: ICMC
Assunto: BANCO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZA, Felipe Alves da e CIFERRI, Ricardo Rodrigues e CIFERRI, Cristina Dutra de Aguiar. Efficiently querying protein sequences with the Proteinus index. Lecture Notes in Bioinformatics. Heidelberg: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-22825-4_8. Acesso em: 21 nov. 2025. , 2011
APA
Louza, F. A. da, Ciferri, R. R., & Ciferri, C. D. de A. (2011). Efficiently querying protein sequences with the Proteinus index. Lecture Notes in Bioinformatics. Heidelberg: Springer-Verlag. doi:10.1007/978-3-642-22825-4_8
NLM
Louza FA da, Ciferri RR, Ciferri CD de A. Efficiently querying protein sequences with the Proteinus index [Internet]. Lecture Notes in Bioinformatics. 2011 ; 6832 59-65.[citado 2025 nov. 21 ] Available from: https://doi.org/10.1007/978-3-642-22825-4_8
Vancouver
Louza FA da, Ciferri RR, Ciferri CD de A. Efficiently querying protein sequences with the Proteinus index [Internet]. Lecture Notes in Bioinformatics. 2011 ; 6832 59-65.[citado 2025 nov. 21 ] Available from: https://doi.org/10.1007/978-3-642-22825-4_8
Trabalho de evento-anais periodico
Representations for evolutionary algorithms applied to protein structure prediction problem using HP model (2009)
Gabriel, Paulo H. R.; Delbem, Alexandre Cláudio Botazzo
Source: Lecture Notes in Bioinformatics. Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GABRIEL, Paulo H. R. e DELBEM, Alexandre Cláudio Botazzo. Representations for evolutionary algorithms applied to protein structure prediction problem using HP model. Lecture Notes in Bioinformatics. Heidelberg: Springer. Disponível em: http://www.springerlink.com/content/37t56412q3108837/fulltext.pdf. Acesso em: 21 nov. 2025. , 2009
APA
Gabriel, P. H. R., & Delbem, A. C. B. (2009). Representations for evolutionary algorithms applied to protein structure prediction problem using HP model. Lecture Notes in Bioinformatics. Heidelberg: Springer. Recuperado de http://www.springerlink.com/content/37t56412q3108837/fulltext.pdf
NLM
Gabriel PHR, Delbem ACB. Representations for evolutionary algorithms applied to protein structure prediction problem using HP model [Internet]. Lecture Notes in Bioinformatics. 2009 ; 5676 97-108.[citado 2025 nov. 21 ] Available from: http://www.springerlink.com/content/37t56412q3108837/fulltext.pdf
Vancouver
Gabriel PHR, Delbem ACB. Representations for evolutionary algorithms applied to protein structure prediction problem using HP model [Internet]. Lecture Notes in Bioinformatics. 2009 ; 5676 97-108.[citado 2025 nov. 21 ] Available from: http://www.springerlink.com/content/37t56412q3108837/fulltext.pdf

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