Feature Genes in Neuroblastoma Distinguishing High-Risk and Non-high-Risk Neuroblastoma Patients: Development and Validation Combining Random Forest With Artificial Neural Network

Feature Genes in Neuroblastoma Distinguishing High-Risk and Non-high-Risk Neuroblastoma Patients: Development and Validation Combining Random Forest With Artificial Neural Network

There is a significant difference in prognosis among different risk groups. Therefore, it is of great significance to correctly identify the risk grouping of children. Using the genomic data of neuroblastoma samples in public databases, we used GSE49710 as the training set data to calculate the feat...

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Bibliographic Details
Main Authors: Sha Yang, Lingfeng Zeng, Xin Jin, Huapeng Lin, Jianning Song
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Medicine
Subjects:
neuroblastoma
random forest
artificial neural network
high-risk category
genes
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.882348/full

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