A Computational Framework to Identify Biomarkers for Glioma Recurrence and Potential Drugs Targeting Them.

Ma, Shuzhi; Guo, Zhen; Wang, Bo; Yang, Min; Yuan, Xuelian; Ji, Binbin; Wu, Yan; Chen, Size

Ma, Shuzhi; Guo, Zhen; Wang, Bo; Yang, Min; Yuan, Xuelian; Ji, Binbin; Wu, Yan; Chen, Size.

Afiliação

Ma S; Department of Oncology, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
Guo Z; Department of Pathology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Wang B; Academician Workstation, Changsha Medical University, Changsha, China.
Yang M; Hunan Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, Changsha Medical University, Changsha, China.
Yuan X; Geneis (Beijing) Co., Ltd., Beijing, China.
Ji B; Geneis (Beijing) Co., Ltd., Beijing, China.
Wu Y; Geneis (Beijing) Co., Ltd., Beijing, China.
Chen S; Geneis (Beijing) Co., Ltd., Beijing, China.

Front Genet ; 12: 832627, 2021.

Article em En | MEDLINE | ID: mdl-35116059

Palavras-chave

RNA-seq; WGCNA; differentially expressed genes; drug discovery; key driver genes; low grade gliomas

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Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Front Genet Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China