An Integrated Analysis of Tumor Purity of Common Central Nervous System Tumors in Children Based on Machine Learning Methods

An Integrated Analysis of Tumor Purity of Common Central Nervous System Tumors in Children Based on Machine Learning Methods

Background: Tumor purity is defined as the proportion of cancer cells in the tumor tissue, and its effects on molecular genetics, the immune microenvironment, and the prognosis of children’s central nervous system (CNS) tumors are under-researched.Methods: We applied random forest machine learning,...

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Autores principales: Jian Yang, Jiajia Wang, Shuaiwei Tian, Qinhua Wang, Yang Zhao, Baocheng Wang, Liangliang Cao, Zhuangzhuang Liang, Heng Zhao, Hao Lian, Jie Ma
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
Materias:
pediatric
central nervous system tumors
medulloblastoma
tumor purity
machine learning
Genetics
QH426-470
Acceso en línea:https://doaj.org/article/362a997897724957843f32eb2199605b
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https://doaj.org/article/362a997897724957843f32eb2199605b

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