Identification of key gene networks associated with fracture healing using αSMA-labeled progenitor cells

The aim of the present study was to investigate the key gene network in fracture healing. The dataset GSE45156 was downloaded from the Gene Expression Omnibus. Differentially expressed genes (DEGs) were identified using the linear models for microarray data package of Bioconductor. Subsequently, Gen...

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Detalles Bibliográficos
Autores principales: Wang, Hua, Wang, Yongxiang, He, Jinshan, Diao, Chunyu, Sun, Junying, Wang, Jingcheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059713/
https://www.ncbi.nlm.nih.gov/pubmed/29845231
http://dx.doi.org/10.3892/mmr.2018.9029

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059713/
https://www.ncbi.nlm.nih.gov/pubmed/29845231
http://dx.doi.org/10.3892/mmr.2018.9029

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