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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Detalles Bibliográficos
Autores principales: Ma, Zhifang, Wang, Jianming, Ding, Lingyan, Chen, Yujun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2020
Materias:
7300
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360283/
https://www.ncbi.nlm.nih.gov/pubmed/32664150
http://dx.doi.org/10.1097/MD.0000000000021158

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360283/
https://www.ncbi.nlm.nih.gov/pubmed/32664150
http://dx.doi.org/10.1097/MD.0000000000021158

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