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Comprehensive data analysis of genomics, epigenomics, and transcriptomics to identify specific biomolecular markers for prostate adenocarcinoma

BACKGROUND: Multiomics data analysis based on high-throughput sequencing technology has become a hotspot in tumor investigation. The present study aimed to explore prognostic biomarkers via investigating DNA copy number variation (CNV) and methylation variation (MET) data in prostate cancer. METHODS...

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Detalles Bibliográficos
Autores principales:	Ye, Chunwei, Wang, Haifeng, Li, Zhipeng, Xia, Chengxing, Yuan, Shunhui, Yan, Ruping, Yang, Xiaofang, Ma, Tao, Wen, Xingqiao, Yang, Delin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AME Publishing Company 2021
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350225/ https://www.ncbi.nlm.nih.gov/pubmed/34430406 http://dx.doi.org/10.21037/tau-21-576

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