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Identification of candidate biomarkers correlated with the pathogenesis and prognosis of breast cancer via integrated bioinformatics analysis
BACKGROUND: This study was carried out to identify potential key genes associated with the pathogenesis and prognosis of breast cancer (BC). METHODS: Seven GEO datasets (GSE24124, GSE32641, GSE36295, GSE42568, GSE53752, GSE70947, GSE109169) were downloaded from the Gene Expression Omnibus (GEO) data...
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| Pubblicato in: | Medicine (Baltimore) |
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| Autori principali: | , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Lippincott Williams & Wilkins
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7717725/ https://ncbi.nlm.nih.gov/pubmed/33285689 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/MD.0000000000023153 |
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