BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification

BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification

The accurate classification of non-coding RNA (ncRNA) sequences is pivotal for advanced non-coding genome annotation and analysis, a fundamental aspect of genomics that facilitates understanding of ncRNA functions and regulatory mechanisms in various biological processes. While traditional machine l...

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Bibliographic Details
Main Authors: Anderson P. Avila Santos, Breno L. S. de Almeida, Robson P. Bonidia, Peter F. Stadler, Polonca Stefanic, Ines Mandic-Mulec, Ulisses Rocha, Danilo S. Sanches, André C.P.L.F. de Carvalho
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:RNA Biology
Subjects:
Non-coding RNA
deep learning
neural networks
RNA identification
feature extraction
model performance
Online Access:https://www.tandfonline.com/doi/10.1080/15476286.2024.2329451
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