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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主要な著者:	Yu Deng, Jianhua Jia, Mengyue Yi
フォーマット:	Artigo
言語:	Inglês
出版事項:	BMC 2024-12-01
シリーズ:	BMC Genomics
主題:	MRNA subcellular localization Class imbalance Multi-label Deep learning Focal loss
オンライン･アクセス:	https://doi.org/10.1186/s12864-024-11173-6
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