An Immune-Related Long Non-Coding RNA Signature to Predict the Prognosis of Ewing’s Sarcoma Based on a Machine Learning Iterative Lasso Regression

An Immune-Related Long Non-Coding RNA Signature to Predict the Prognosis of Ewing’s Sarcoma Based on a Machine Learning Iterative Lasso Regression

The aim of this study was to construct a new immune-associated long non-coding RNA (lncRNA) signature to predict the prognosis of Ewing sarcoma (ES) and explore its molecular mechanisms. We downloaded transcriptome and clinical prognosis data from the Gene Expression Omnibus (GSE17679, which include...

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Bibliographic Details
Main Authors: En-hui Ren, Ya-jun Deng, Wen-hua Yuan, Guang-zhi Zhang, Zuo-long Wu, Chun-ying Li, Qi-qi Xie
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Cell and Developmental Biology
Subjects:
Ewing sarcoma
prognostic analysis
machine learning
immune infiltration
long non-coding RNA
Online Access:https://www.frontiersin.org/articles/10.3389/fcell.2021.651593/full

Internet

https://www.frontiersin.org/articles/10.3389/fcell.2021.651593/full

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