PICan: An integromics framework for dynamic cancer biomarker discovery.
作者： Darragh G. McArt , Jaine K. Blayney , David P. Boyle , Gareth W. Irwin , Michael Moran
DOI: 10.1016/J.MOLONC.2015.02.002
关键词:
摘要: Modern cancer research on prognostic and predictive biomarkers demands the integration of established emerging high-throughput technologies. However, these data are meaningless unless carefully integrated with patient clinical outcome epidemiological information. Integrated datasets hold key to discovering new therapeutic targets in cancer. We have developed a novel approach set methods for integrating interrogating phenomic, genomic sets facilitate biomarker discovery stratification. Applied known paradigm, biological relevance TP53, PICan was able recapitulate status significance at DNA, RNA protein levels.
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