Identification of Novel Key Genes and Pathways in Multiple Sclerosis Based on Weighted Gene Coexpression Network Analysis and Long Noncoding RNA-Associated Competing Endogenous RNA Network.

Hao, Yuehan; He, Miao; Fu, Yu; Zhao, Chenyang; Xiong, Shuang; Xu, Xiaoxue

Hao, Yuehan; He, Miao; Fu, Yu; Zhao, Chenyang; Xiong, Shuang; Xu, Xiaoxue.

Affiliation

Hao Y; Department of Neurology, The First Hospital of China Medical University, Shenyang, China.
He M; Department of Pharmaceutical Toxicology, School of Pharmacy, China Medical University, Shenyang, China.
Fu Y; Department of Pharmaceutical Toxicology, School of Pharmacy, China Medical University, Shenyang, China.
Zhao C; Department of Neurology, The First Hospital of China Medical University, Shenyang, China.
Xiong S; Liaoning Academy of Analytic Science, Construction Engineering Center of Important Technology Innovation and Research and Development Base in Liaoning Province, Shenyang, China.
Xu X; Department of Neurology, The First Hospital of China Medical University, Shenyang, China.

Oxid Med Cell Longev ; 2022: 9328160, 2022.

Article in En | MEDLINE | ID: mdl-35281467

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computational Biology / Gene Expression Profiling / RNA, Long Noncoding / Multiple Sclerosis Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Oxid Med Cell Longev Journal subject: METABOLISMO Year: 2022 Document type: Article Affiliation country: Country of publication:

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