Big data–led cancer research, application, and insights
Brown, James A.L. ; Ni Chonghaile, Triona ; Matchett, Kyle B. ; Lynam-Lennon, Niamh ; Kiely, Patrick A.
Brown, James A.L.
Ni Chonghaile, Triona
Matchett, Kyle B.
Lynam-Lennon, Niamh
Kiely, Patrick A.
Identifiers
http://hdl.handle.net/10379/10556
https://doi.org/10.13025/26338
https://doi.org/10.13025/26338
Repository DOI
Publication Date
2016-10-20
Type
Article
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Citation
Brown, James A.L. Ni Chonghaile, Triona; Matchett, Kyle B.; Lynam-Lennon, Niamh; Kiely, Patrick A. (2016). Big data–led cancer research, application, and insights. Cancer Research 76 (21), 6167-6170
Abstract
Insights distilled from integratingmultiple big-data or "omic" datasets have revealed functional hierarchies of molecular networks driving tumorigenesis and modifiers of treatment response. Identifying these novel key regulatory and dysregulated elements is now informing personalized medicine. Crucially, although there are many advantages to this approach, there are several key considerations to address. Here, we examine how this big data-led approach is impacting many diverse areas of cancer research, through review of the key presentations given at the Irish Association for Cancer Research Meeting and importantly how the results may be applied to positively affect patient outcomes.
Funder
Publisher
American Association for Cancer Research (AACR)
Publisher DOI
10.1158/0008-5472.can-16-0860
Rights
Attribution-NonCommercial-NoDerivs 3.0 Ireland