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Identification of novel biomarkers correlated with prostate cancer progression by an integrated bioinformatic analysis
Prostate cancer (PCa) is a highly aggressive malignant tumor and the biological mechanisms underlying its progression remain unclear. We performed weighted gene co-expression network analysis in PCa dataset from the Cancer Genome Atlas database to identify the key module and key genes related to the...
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| Publicado en: | Medicine (Baltimore) |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Wolters Kluwer Health
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7360283/ https://ncbi.nlm.nih.gov/pubmed/32664150 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/MD.0000000000021158 |
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