GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides

Abstract Due to the intricate relationship between the small non-coding ribonucleic acid (miRNA) sequences, the classification of miRNA species, namely Human, Gorilla, Rat, and Mouse is challenging. Previous methods are not robust and accurate. In this study, we present AtheroPoint’s GeneAI 3.0, a p...

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Detalhes bibliográficos

Principais autores:	Jaskaran Singh, Narendra N. Khanna, Ranjeet K. Rout, Narpinder Singh, John R. Laird, Inder M. Singh, Mannudeep K. Kalra, Laura E. Mantella, Amer M. Johri, Esma R. Isenovic, Mostafa M. Fouda, Luca Saba, Mostafa Fatemi, Jasjit S. Suri
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2024-03-01
Colecção:	Scientific Reports
Assuntos:	miRNA classification Ensemble deep learning Ensemble machine learning Composite feature extraction Validation Statistical tests
Acesso em linha:	https://doi.org/10.1038/s41598-024-56786-9
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