Big data-led cancer research, applications and insights

James A.L. Brown, Triona Ni Chonghaile, Kyle B. Matchett, Niamh Lynam-Lennon, Pat A. Kiely

Research output: Contribution to journalArticle

3 Citations (Scopus)
131 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)6167-6170
JournalCancer Research
Volume76
Issue number21
Early online date20 Oct 2016
DOIs
Publication statusPublished - 01 Nov 2016

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    Brown, J. A. L., Ni Chonghaile, T., Matchett, K. B., Lynam-Lennon, N., & Kiely, P. A. (2016). Big data-led cancer research, applications and insights. Cancer Research, 76(21), 6167-6170. https://doi.org/10.1158/0008-5472.CAN-16-0860