EDCLoc: a prediction model for mRNA subcellular localization using improved focal loss to address multi-label class imbalance

Abstract Background The subcellular localization of mRNA plays a crucial role in gene expression regulation and various cellular processes. However, existing wet lab techniques like RNA-FISH are usually time-consuming, labor-intensive, and limited to specific tissue types. Researchers have developed...

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Bibliografski detalji

Glavni autori:	Yu Deng, Jianhua Jia, Mengyue Yi
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2024-12-01
Serija:	BMC Genomics
Teme:	MRNA subcellular localization Class imbalance Multi-label Deep learning Focal loss
Online pristup:	https://doi.org/10.1186/s12864-024-11173-6
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