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A novel, effective machine learning-based RNA editing profile for predicting the prognosis of lower-grade gliomas
Patients with low-grade glioma (LGG) may survive for long time periods, but their tumors often progress to higher-grade lesions. Currently, no cure for LGG is available. A-to-I RNA editing accounts for nearly 90% of all RNA editing events in humans and plays a role in tumorigenesis in various cancer...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362151/ https://www.ncbi.nlm.nih.gov/pubmed/37483735 http://dx.doi.org/10.1016/j.heliyon.2023.e18075 |