Article Versions Notes

Bonidia RP, Avila Santos AP, de Almeida BLS, Stadler PF, Nunes da Rocha U, Sanches DS, de Carvalho ACPLF. Information Theory for Biological Sequence Classification: A Novel Feature Extraction Technique Based on Tsallis Entropy. Entropy. 2022; 24(10):1398. https://doi.org/10.3390/e24101398

Bonidia, Robson P., Anderson P. Avila Santos, Breno L. S. de Almeida, Peter F. Stadler, Ulisses Nunes da Rocha, Danilo S. Sanches, and André C. P. L. F. de Carvalho. 2022. "Information Theory for Biological Sequence Classification: A Novel Feature Extraction Technique Based on Tsallis Entropy" Entropy 24, no. 10: 1398. https://doi.org/10.3390/e24101398

Bonidia, R. P., Avila Santos, A. P., de Almeida, B. L. S., Stadler, P. F., Nunes da Rocha, U., Sanches, D. S., & de Carvalho, A. C. P. L. F. (2022). Information Theory for Biological Sequence Classification: A Novel Feature Extraction Technique Based on Tsallis Entropy. Entropy, 24(10), 1398. https://doi.org/10.3390/e24101398