Spliceread: improving canonical and non-canonical splice site prediction with residual blocks and synthetic data augmentation

Abstract Accurate splice site prediction is fundamental to understanding gene expression and its associated disorders. However, most existing models are biased toward frequent canonical sites, limiting their ability to detect rare but biologically important non-canonical variants. These models often...

Descripció completa

Dades bibliogràfiques

Autors principals:	Sahil Thapa, Khushali Samderiya, Rohit Menon, Oluwatosin Oluwadare
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2026-05-01
Col·lecció:	BMC Bioinformatics
Matèries:	Splice site prediction Non-canonical sequences Transcriptomic Deep learning Residual CNN Data augmentation
Accés en línia:	https://doi.org/10.1186/s12859-026-06486-0
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!