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Artigo de periodico
Clustering of RNA-Seq samples: comparison study on cancer data (2018)
Jaskowiak, Pablo Andretta; Costa, Ivan G; Campello, Ricardo José Gabrielli Barreto
Source: Methods. Unidade: ICMC
Subjects: BIOINFORMÁTICA, RECONHECIMENTO DE PADRÕES, EXPRESSÃO GÊNICA, NEOPLASIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JASKOWIAK, Pablo Andretta e COSTA, Ivan G e CAMPELLO, Ricardo José Gabrielli Barreto. Clustering of RNA-Seq samples: comparison study on cancer data. Methods, v. 132, n. Ja 2018, p. 42-49, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.ymeth.2017.07.023. Acesso em: 28 abr. 2024.
APA
Jaskowiak, P. A., Costa, I. G., & Campello, R. J. G. B. (2018). Clustering of RNA-Seq samples: comparison study on cancer data. Methods, 132( Ja 2018), 42-49. doi:10.1016/j.ymeth.2017.07.023
NLM
Jaskowiak PA, Costa IG, Campello RJGB. Clustering of RNA-Seq samples: comparison study on cancer data [Internet]. Methods. 2018 ; 132( Ja 2018): 42-49.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.ymeth.2017.07.023
Vancouver
Jaskowiak PA, Costa IG, Campello RJGB. Clustering of RNA-Seq samples: comparison study on cancer data [Internet]. Methods. 2018 ; 132( Ja 2018): 42-49.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.ymeth.2017.07.023
Trabalho de evento-anais periodico
On the selection of appropriate distances for gene expression data clustering (2014)
Jaskowiak, Pablo A; Campello, Ricardo José Gabrielli Barreto; Costa, Ivan G
Source: BMC Bioinformatics. Conference titles: Asia Pacific Bioinformatics Conference - APBC. 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. On the selection of appropriate distances for gene expression data clustering. BMC Bioinformatics. London: BioMed Central. Disponível em: https://doi.org/10.1186/1471-2105-15-S2-S2. Acesso em: 28 abr. 2024. , 2014
APA
Jaskowiak, P. A., Campello, R. J. G. B., & Costa, I. G. (2014). On the selection of appropriate distances for gene expression data clustering. BMC Bioinformatics. London: BioMed Central. doi:10.1186/1471-2105-15-S2-S2
NLM
Jaskowiak PA, Campello RJGB, Costa IG. On the selection of appropriate distances for gene expression data clustering [Internet]. BMC Bioinformatics. 2014 ; 15 1-17.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1186/1471-2105-15-S2-S2
Vancouver
Jaskowiak PA, Campello RJGB, Costa IG. On the selection of appropriate distances for gene expression data clustering [Internet]. BMC Bioinformatics. 2014 ; 15 1-17.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1186/1471-2105-15-S2-S2
Artigo de periodico
Proximity measures for clustering gene expression microarray data: a validation methodology and a comparative analysis (2013)
Jaskowiak, Pablo A; Campello, Ricardo José Gabrielli Barreto; Costa, Ivan G
Source: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 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. Proximity measures for clustering gene expression microarray data: a validation methodology and a comparative analysis. IEEE/ACM Transactions on Computational Biology and Bioinformatics, v. 10, n. 4, p. 845-857, 2013Tradução . . Disponível em: https://doi.org/10.1109/TCBB.2013.9. Acesso em: 28 abr. 2024.
APA
Jaskowiak, P. A., Campello, R. J. G. B., & Costa, I. G. (2013). Proximity measures for clustering gene expression microarray data: a validation methodology and a comparative analysis. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 10( 4), 845-857. doi:10.1109/TCBB.2013.9
NLM
Jaskowiak PA, Campello RJGB, Costa IG. Proximity measures for clustering gene expression microarray data: a validation methodology and a comparative analysis [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2013 ; 10( 4): 845-857.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1109/TCBB.2013.9
Vancouver
Jaskowiak PA, Campello RJGB, Costa IG. Proximity measures for clustering gene expression microarray data: a validation methodology and a comparative analysis [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2013 ; 10( 4): 845-857.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1109/TCBB.2013.9
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: 28 abr. 2024. , 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 2024 abr. 28 ] 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 2024 abr. 28 ] Available from: https://doi.org/10.1007/978-3-642-31927-3

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