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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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Detalles Bibliográficos
Autores principales: Yang, Sha, Zeng, Lingfeng, Jin, Xin, Lin, Huapeng, Song, Jianning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9336509/
https://www.ncbi.nlm.nih.gov/pubmed/35911385
http://dx.doi.org/10.3389/fmed.2022.882348