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Filtros : "Sanches, Danilo Sipoli" "Financiamento Google" Removido: "GENÔMICA" Limpar

Filtros

Artigo de periodico
Information theory for biological sequence classification: a novel feature extraction technique based on Tsallis entropy (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
Source: Entropy. Unidades: ICMC, EESC E ICMC
Subjects: BIOINFORMÁTICA, SEQUENCIAMENTO GENÉTICO, TEORIA DA INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BONIDIA, Robson Parmezan et al. Information theory for biological sequence classification: a novel feature extraction technique based on Tsallis entropy. Entropy, v. 24, n. 10, p. 1-17, 2022Tradução . . Disponível em: https://doi.org/10.3390/e24101398. Acesso em: 01 nov. 2024.
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). Information theory for biological sequence classification: a novel feature extraction technique based on Tsallis entropy. Entropy, 24( 10), 1-17. doi:10.3390/e24101398
NLM
Bonidia RP, Santos APA, Almeida BLS de, Stadler PF, Rocha UN da, Sanches DS, Carvalho ACP de LF de. Information theory for biological sequence classification: a novel feature extraction technique based on Tsallis entropy [Internet]. Entropy. 2022 ; 24( 10): 1-17.[citado 2024 nov. 01 ] Available from: https://doi.org/10.3390/e24101398
Vancouver
Bonidia RP, Santos APA, Almeida BLS de, Stadler PF, Rocha UN da, Sanches DS, Carvalho ACP de LF de. Information theory for biological sequence classification: a novel feature extraction technique based on Tsallis entropy [Internet]. Entropy. 2022 ; 24( 10): 1-17.[citado 2024 nov. 01 ] Available from: https://doi.org/10.3390/e24101398
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
Source: Briefings in Bioinformatics. Unidades: ICMC, EESC E ICMC
Subjects: 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: 01 nov. 2024.
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 2024 nov. 01 ] 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 2024 nov. 01 ] Available from: https://doi.org/10.1093/bib/bbac218

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