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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046390/ https://www.ncbi.nlm.nih.gov/pubmed/35477703 http://dx.doi.org/10.1038/s41467-022-30017-z |