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Identification of key pathways and genes in the progression of cervical cancer using bioinformatics analysis
The aim of the present study was to investigate the key pathways and genes in the progression of cervical cancer. The gene expression profiles GSE7803 and GSE63514 were obtained from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified using GEO2R and the limma...
Autores principales: | Wu, Kejia, Yi, Yuexiong, Liu, Fulin, Wu, Wanrong, Chen, Yurou, Zhang, Wei |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6019941/ https://www.ncbi.nlm.nih.gov/pubmed/29963176 http://dx.doi.org/10.3892/ol.2018.8768 |
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