Opportunities and Challenges for Selected Emerging Technologies in Cancer Epidemiology: Mitochondrial, Epigenomic, Metabolomic, and Telomerase Profiling
Omics & the Practice of Epidemiology
Supersize me: how whole-genome sequencing and big data are transforming epidemiology![External Web Site Icon External Web Site Icon](https://lh3.googleusercontent.com/blogger_img_proxy/AEn0k_sTOQXSz98DkiVr599EHle6XoRFsNJKsms-6eK7JZXK2xMEh4thMlRSTLMSBlaucQCBeW87KGynLIASkyNRbuxjTv3aussFzSE6feLWtJAJ_GJDNzJ-NJ1W=s0-d)
Rowland R. Kao et al. PLOS Microbiology, March 2014
Rowland R. Kao et al. PLOS Microbiology, March 2014
Opportunities and challenges for selected emerging technologies in cancer epidemiology: Mitochondrial, epigenomic, metabolomic, and telomerase profiling.
Mukesh Verma et al. Cancer Epidemiology, Biomarkers and Prevention (2013)
Mukesh Verma et al. Cancer Epidemiology, Biomarkers and Prevention (2013)
Epigenetic research in cancer epidemiology: Trends, opportunities, and challenges.
Mukesh Verma et al. Cancer Epidemiology Biomarkers and Prevention (2014)
Mukesh Verma et al. Cancer Epidemiology Biomarkers and Prevention (2014)
NCI-CDC paper: Transforming epidemiology for 21st century population health in the age of genomics and big data,
CEBP (2013)
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