LASSO-based screening for potential prognostic biomarkers associated with glioblastoma

BACKGROUND: Glioblastoma is the most common malignancy of the neuroepithelium, yet existing research on this tumor is limited. LASSO is an algorithm of selected feature coefficients by which genes associated with glioblastoma prognosis can be obtained. METHODS: Glioblastoma-related data were selecte...

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Detalles Bibliográficos
Autores principales: Tian, Yin, Chen, Li’e, Jiang, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9888488/
https://www.ncbi.nlm.nih.gov/pubmed/36733371
http://dx.doi.org/10.3389/fonc.2022.1057383

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9888488/
https://www.ncbi.nlm.nih.gov/pubmed/36733371
http://dx.doi.org/10.3389/fonc.2022.1057383

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