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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Sahil Thapa, Khushali Samderiya, Rohit Menon, Oluwatosin Oluwadare
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	BMC 2026-05-01
سلاسل:	BMC Bioinformatics
الموضوعات:	Splice site prediction Non-canonical sequences Transcriptomic Deep learning Residual CNN Data augmentation
الوصول للمادة أونلاين:	https://doi.org/10.1186/s12859-026-06486-0
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!