F3UTER

F3UTER is a machine learning-based framework which leverages both genomic and tissue-specific transcriptomic features to predict previously unannotated 3’UTRs in the human genome. F3UTER was applied to transcriptomic data covering 39 human tissues studied within GTEx, enabling the identification of tissue-specific unannotated 3’UTRs for 1,563 genes.

F3UTER是一款基于机器学习的框架，可整合基因组与组织特异性转录组特征，用于预测人类基因组中此前未被注释的3'非翻译区（3' Untranslated Regions，3'UTRs）。该框架被应用于覆盖基因型-组织表达（Genotype-Tissue Expression, GTEx）项目所研究的39个人类组织的转录组数据，最终成功识别出1563个基因的组织特异性未注释3'非翻译区。