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Interpretable Deep Learning Model Reveals Subsequences of Various Functions for Long Non-Coding RNA Identification
Long non-coding RNAs (lncRNAs) play crucial roles in many biological processes and are implicated in several diseases. With the next-generation sequencing technologies, substantial unannotated transcripts have been discovered. Classifying unannotated transcripts using biological experiments are more...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9173695/ https://www.ncbi.nlm.nih.gov/pubmed/35685437 http://dx.doi.org/10.3389/fgene.2022.876721 |