Integrating machine learning and bioinformatics analysis to m6A regulator-mediated methylation modification models for predicting glioblastoma patients’ prognosis and immunotherapy response

Background: Epigenetic regulations of immune responses are essential for cancer development and growth. As a critical step, comprehensive and rigorous explorations of m6A methylation are important to determine its prognostic significance, tumor microenvironment (TME) infiltration characteristics and...

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Detalles Bibliográficos
Autores principales: Li, Chuanyu, Liu, Wangrui, Liu, Chengming, Luo, Qisheng, Luo, Kunxiang, Wei, Cuicui, Li, Xueyu, Qin, Jiancheng, Zheng, Chuanhua, Lan, Chuanliu, Wei, Shiyin, Tan, Rong, Chen, Jiaxing, Chen, Yuanbiao, Huang, Huadong, Zhang, Gaolian, Huang, Haineng, Wang, Xiangyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2023
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257999/
https://www.ncbi.nlm.nih.gov/pubmed/37244287
http://dx.doi.org/10.18632/aging.204495

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257999/
https://www.ncbi.nlm.nih.gov/pubmed/37244287
http://dx.doi.org/10.18632/aging.204495

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