Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2016 Jan 4:9:1.
doi: 10.1186/s13040-015-0079-8. eCollection 2016.

A call for biological data mining approaches in epidemiology

Affiliations

A call for biological data mining approaches in epidemiology

Shannon M Lynch et al. BioData Min. .
No abstract available

PubMed Disclaimer

References

    1. Lynch SM, Rebbeck TR. Bridging the Gap between biologic, individual, and macroenvironmental factors in cancer: a multilevel approach. Cancer Epidemiol Biomarkers Prev. 2013;22(4):485–95. doi: 10.1158/1055-9965.EPI-13-0010. - DOI - PMC - PubMed
    1. Brownson RC, Samet JM, Chavez GF, Davies MM, Galea S, Hiatt RA, et al. Charting a future for epidemiologic training. Ann Epidemiol. 2015;25(6):458–65. doi: 10.1016/j.annepidem.2015.03.002. - DOI - PMC - PubMed
    1. Upstill-Goddard R, Eccles D, Fliege J, Collins A. Machine learning approaches for the discovery of gene-gene interactions in disease data. Brief Bioinform. 2013;14(2):251–60. doi: 10.1093/bib/bbs024. - DOI - PubMed
    1. Marshall BDL, Galea S. Formalizing the role of agent-based modeling in causal inference and epidemiology. Am J Epidemiol. 2015;181(2):92–9. doi: 10.1093/aje/kwu274. - DOI - PMC - PubMed
    1. Kourou K, Exarchos TP, Exarchos KP, Karamouzis MV, Fotiadis DI, et al. Machine learning applications in cancer prognosis and prediction. Comput Struct Biotechnol Jl. 2015;13:8–17. doi: 10.1016/j.csbj.2014.11.005. - DOI - PMC - PubMed

LinkOut - more resources