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...

Descripción completa

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

Internet

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

Ejemplares similares