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Artigo de periodico
MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical (2022)
Bonidia, Robson Parmezan ; Domingues, Douglas S ; Sanches, Danilo Sipoli ; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Briefings in Bioinformatics. Unidade: ICMC
Assuntos: BIOINFORMÁTICA, APRENDIZADO COMPUTACIONAL, PYTHON
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BONIDIA, Robson Parmezan et al. MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical. Briefings in Bioinformatics, v. 23, n. 1, p. 1-10, 2022Tradução . . Disponível em: https://doi.org/10.1093/bib/bbab434. Acesso em: 30 nov. 2025.
APA
Bonidia, R. P., Domingues, D. S., Sanches, D. S., & Carvalho, A. C. P. de L. F. de. (2022). MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical. Briefings in Bioinformatics, 23( 1), 1-10. doi:10.1093/bib/bbab434
NLM
Bonidia RP, Domingues DS, Sanches DS, Carvalho ACP de LF de. MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical [Internet]. Briefings in Bioinformatics. 2022 ; 23( 1): 1-10.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1093/bib/bbab434
Vancouver
Bonidia RP, Domingues DS, Sanches DS, Carvalho ACP de LF de. MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical [Internet]. Briefings in Bioinformatics. 2022 ; 23( 1): 1-10.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1093/bib/bbab434
Artigo de periodico
BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria (2022)
Bonidia, Robson Parmezan ; Santos, Anderson Paulo Avila ; Almeida, Breno Lívio Silva de; Stadler, Peter F ; Rocha, Ulisses Nunes da ; Sanches, Danilo Sipoli ; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Briefings in Bioinformatics. Unidades: ICMC, EESC E ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, SEQUENCIAMENTO GENÉTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BONIDIA, Robson Parmezan et al. BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria. Briefings in Bioinformatics, v. 23, n. 4, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1093/bib/bbac218. Acesso em: 30 nov. 2025.
APA
Bonidia, R. P., Santos, A. P. A., Almeida, B. L. S. de, Stadler, P. F., Rocha, U. N. da, Sanches, D. S., & Carvalho, A. C. P. de L. F. de. (2022). BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria. Briefings in Bioinformatics, 23( 4), 1-13. doi:10.1093/bib/bbac218
NLM
Bonidia RP, Santos APA, Almeida BLS de, Stadler PF, Rocha UN da, Sanches DS, Carvalho ACP de LF de. BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria [Internet]. Briefings in Bioinformatics. 2022 ; 23( 4): 1-13.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1093/bib/bbac218
Vancouver
Bonidia RP, Santos APA, Almeida BLS de, Stadler PF, Rocha UN da, Sanches DS, Carvalho ACP de LF de. BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria [Internet]. Briefings in Bioinformatics. 2022 ; 23( 4): 1-13.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1093/bib/bbac218
Artigo de periodico
CodAn: predictive models for precise identification of coding regions in eukaryotic transcripts (2021)
Nachtigall, Pedro Gabriel ; Kashiwabara, André Yoshiaki ; Durham, Alan Mitchell
Fonte: Briefings in Bioinformatics. Unidade: IME
Assuntos: BIOINFORMÁTICA, SEQUENCIAMENTO GENÉTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NACHTIGALL, Pedro Gabriel e KASHIWABARA, André Yoshiaki e DURHAM, Alan Mitchell. CodAn: predictive models for precise identification of coding regions in eukaryotic transcripts. Briefings in Bioinformatics, v. 22, n. 3, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1093/bib/bbaa045. Acesso em: 30 nov. 2025.
APA
Nachtigall, P. G., Kashiwabara, A. Y., & Durham, A. M. (2021). CodAn: predictive models for precise identification of coding regions in eukaryotic transcripts. Briefings in Bioinformatics, 22( 3), 1-11. doi:10.1093/bib/bbaa045
NLM
Nachtigall PG, Kashiwabara AY, Durham AM. CodAn: predictive models for precise identification of coding regions in eukaryotic transcripts [Internet]. Briefings in Bioinformatics. 2021 ; 22( 3): 1-11.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1093/bib/bbaa045
Vancouver
Nachtigall PG, Kashiwabara AY, Durham AM. CodAn: predictive models for precise identification of coding regions in eukaryotic transcripts [Internet]. Briefings in Bioinformatics. 2021 ; 22( 3): 1-11.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1093/bib/bbaa045
Artigo de periodico
Feature extraction approaches for biological sequences: a comparative study of mathematical features (2021)
Bonidia, Robson Parmezan ; Sampaio, Lucas Dias Hiera ; Domingues, Douglas S ; Paschoal, Alexandre Rossi ; Lopes, Fabrício Martins ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Sanches, Danilo Sipoli
Fonte: Briefings in Bioinformatics. Unidade: ICMC
Assuntos: BIOINFORMÁTICA, GENÔMICA, REDES COMPLEXAS, ENTROPIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BONIDIA, Robson Parmezan et al. Feature extraction approaches for biological sequences: a comparative study of mathematical features. Briefings in Bioinformatics, v. 22, n. 5, p. Se 2021, 2021Tradução . . Disponível em: https://doi.org/10.1093/bib/bbab011. Acesso em: 30 nov. 2025.
APA
Bonidia, R. P., Sampaio, L. D. H., Domingues, D. S., Paschoal, A. R., Lopes, F. M., Carvalho, A. C. P. de L. F. de, & Sanches, D. S. (2021). Feature extraction approaches for biological sequences: a comparative study of mathematical features. Briefings in Bioinformatics, 22( 5), Se 2021. doi:10.1093/bib/bbab011
NLM
Bonidia RP, Sampaio LDH, Domingues DS, Paschoal AR, Lopes FM, Carvalho ACP de LF de, Sanches DS. Feature extraction approaches for biological sequences: a comparative study of mathematical features [Internet]. Briefings in Bioinformatics. 2021 ; 22( 5): Se 2021.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1093/bib/bbab011
Vancouver
Bonidia RP, Sampaio LDH, Domingues DS, Paschoal AR, Lopes FM, Carvalho ACP de LF de, Sanches DS. Feature extraction approaches for biological sequences: a comparative study of mathematical features [Internet]. Briefings in Bioinformatics. 2021 ; 22( 5): Se 2021.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1093/bib/bbab011
Artigo de periodico
A comparative study of statistical methods used to identify dependencies between gene expression signals (2014)
Santos, Suzana de Siqueira ; Takahashi, Daniel Yasumasa ; Nakata, Asuka; Fujita, André
Fonte: Briefings in Bioinformatics. Unidade: IME
Assuntos: BIOINFORMÁTICA, ESTATÍSTICA COMPUTACIONAL, CORRELAÇÃO GENÉTICA E AMBIENTAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Suzana de Siqueira et al. A comparative study of statistical methods used to identify dependencies between gene expression signals. Briefings in Bioinformatics, v. 15, n. 6, p. 906-918, 2014Tradução . . Disponível em: https://doi.org/10.1093/bib/bbt051. Acesso em: 30 nov. 2025.
APA
Santos, S. de S., Takahashi, D. Y., Nakata, A., & Fujita, A. (2014). A comparative study of statistical methods used to identify dependencies between gene expression signals. Briefings in Bioinformatics, 15( 6), 906-918. doi:10.1093/bib/bbt051
NLM
Santos S de S, Takahashi DY, Nakata A, Fujita A. A comparative study of statistical methods used to identify dependencies between gene expression signals [Internet]. Briefings in Bioinformatics. 2014 ; 15( 6): 906-918.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1093/bib/bbt051
Vancouver
Santos S de S, Takahashi DY, Nakata A, Fujita A. A comparative study of statistical methods used to identify dependencies between gene expression signals [Internet]. Briefings in Bioinformatics. 2014 ; 15( 6): 906-918.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1093/bib/bbt051

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