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Identification of Hub Genes in High-Grade Serous Ovarian Cancer Using Weighted Gene Co-Expression Network Analysis
BACKGROUND: High-grade serous ovarian cancer (HGSOC) is the most malignant gynecologic tumor. This study reveals biomarkers related to HGSOC incidence and progression using the bioinformatics method. MATERIAL/METHODS: Five gene expression profiles were downloaded from GEO. Differentially-expressed g...
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| Pubblicato in: | Med Sci Monit |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
International Scientific Literature, Inc.
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7101203/ https://ncbi.nlm.nih.gov/pubmed/32180586 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.12659/MSM.922107 |
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