Leveraging omic features with F3UTER enables identification of unannotated 3’UTRs for synaptic genes
There is growing evidence for the importance of 3’ untranslated region (3’UTR) dependent regulatory processes. However, our current human 3’UTR catalogue is incomplete. Here, we develop a machine learning-based framework, leveraging both genomic and tissue-specific transcriptomic features to predict...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Research
2022
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| Online Access: | View Fulltext in Publisher |