A Novel Extracellular Matrix Gene-Based Prognostic Model to Predict Overall Survive in Patients With Glioblastoma.

Qian, Chen; Xiufu, Wu; Jianxun, Tang; Zihao, Chen; Wenjie, Shi; Jingfeng, Tang; Kahlert, Ulf D; Renfei, Du

Qian, Chen; Xiufu, Wu; Jianxun, Tang; Zihao, Chen; Wenjie, Shi; Jingfeng, Tang; Kahlert, Ulf D; Renfei, Du.

Afiliación

Qian C; Department of Cerebrovascular Diseases, The Second Affiliated Hospital of Guilin Medical University, Guilin, China.
Xiufu W; Department of Cerebrovascular Diseases, The Second Affiliated Hospital of Guilin Medical University, Guilin, China.
Jianxun T; Department of Cerebrovascular Diseases, The Second Affiliated Hospital of Guilin Medical University, Guilin, China.
Zihao C; University Hospital for Gynecology, Pius-Hospital, University Medicine Oldenburg, Oldenburg, Germany.
Wenjie S; University Hospital for Gynecology, Pius-Hospital, University Medicine Oldenburg, Oldenburg, Germany.
Jingfeng T; Molecular and Experimental Surgery, Medical Faculty University Hospital Magdeburg, University Clinic for General-, Visceral-, Vascular- and Trans-Plantation Surgery, Otto-von Guericke University, Magdeburg, Germany.
Kahlert UD; Department of Cerebrovascular Diseases, The Second Affiliated Hospital of Guilin Medical University, Guilin, China.
Renfei D; Molecular and Experimental Surgery, Medical Faculty University Hospital Magdeburg, University Clinic for General-, Visceral-, Vascular- and Trans-Plantation Surgery, Otto-von Guericke University, Magdeburg, Germany.

Front Genet ; 13: 851427, 2022.

Article en En | MEDLINE | ID: mdl-35783254

Palabras clave

ECM; Glioblastoma; machine learning; survival prediction; web server

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Genet Año: 2022 Tipo del documento: Article País de afiliación: China

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