Information theory for biological sequence classification: a novel feature extraction technique based on Tsallis entropy (2022)
- Authors:
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; ALMEIDA, BRENO LIVIO SILVA DE - EESC E ICMC ; BONIDIA, ROBSON PARMEZAN - ICMC ; SANTOS, ANDERSON PAULO AVILA - ICMC
- Unidades: ICMC; EESC E ICMC
- DOI: 10.3390/e24101398
- Subjects: BIOINFORMÁTICA; SEQUENCIAMENTO GENÉTICO; TEORIA DA INFORMAÇÃO
- Keywords: feature extraction; tsallis entropy; biological sequence
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
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: 02 jun. 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 jun. 02 ] 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 jun. 02 ] Available from: https://doi.org/10.3390/e24101398 - BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria
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Informações sobre o DOI: 10.3390/e24101398 (Fonte: oaDOI API)
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