Identification of key genes associated with multiple sclerosis based on gene expression data from peripheral blood mononuclear cells

The aim of this study was to identify the potential key candidate genes of multiple sclerosis (MS) and uncover mechanisms in MS. We combined data from the microarray expression profile of three MS stages and performed bioinformatics analysis. Differentially expressed genes (DEGs) were identified amo...

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Detalles Bibliográficos
Autores principales: Shang, Zhenwei, Sun, Wenjing, Zhang, Mingming, Xu, Lidan, Jia, Xueyuan, Zhang, Ruijie, Fu, Songbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7003695/
https://www.ncbi.nlm.nih.gov/pubmed/32117605
http://dx.doi.org/10.7717/peerj.8357

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7003695/
https://www.ncbi.nlm.nih.gov/pubmed/32117605
http://dx.doi.org/10.7717/peerj.8357

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