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...

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Detalles Bibliográficos
Autores principales: Wang, Boshen, Tian, Peijie, Sun, Qianyu, Zhang, Hengdong, Han, Lei, Zhu, Baoli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
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

Internet

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

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