Comprehensive machine learning-based integration develops a novel prognostic model for glioblastoma

In this study, we developed a new prognostic model for glioblastoma (GBM) based on an integrated machine learning algorithm. We used univariate Cox regression analysis to identify prognostic genes by combining six GBM cohorts. Based on the prognostic genes, 10 machine learning algorithms were integr...

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Bibliografski detalji

Glavni autori:	Qian Jiang, Xiawei Yang, Teng Deng, Jun Yan, Fangzhou Guo, Ligen Mo, Sanqi An, Qianrong Huang
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2024-09-01
Serija:	Molecular Therapy: Oncology
Teme:	Glioblastoma prognostic signature machine learning tumor immune microenvironment immunotherapy.
Online pristup:	http://www.sciencedirect.com/science/article/pii/S2950329924000808
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