PICan: An integromics framework for dynamic cancer biomarker discovery

Modern cancer research on prognostic and predictive biomarkers demands the integration of established and emerging high-throughput technologies. However, these data are meaningless unless carefully integrated with patient clinical outcome and epidemiological information. Integrated datasets hold the...

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Veröffentlicht in:	Molecular oncology 2015-06, Vol.9 (6), p.1234-1240
Hauptverfasser:	McArt, Darragh G., Blayney, Jaine K., Boyle, David P., Irwin, Gareth W., Moran, Michael, Hutchinson, Ryan A., Bankhead, Peter, Kieran, Declan, Wang, Yinhai, Dunne, Philip D., Kennedy, Richard D., Mullan, Paul B., Harkin, D. Paul, Catherwood, Mark A., James, Jacqueline A., Salto-Tellez, Manuel, Hamilton, Peter W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Biomarker discovery Biomarkers Biomarkers, Tumor - genetics Biomarkers, Tumor - metabolism Cancer Data analysis Data collection Databases, Genetic Datasets Digital pathology Epidemiology Genomes Genomics Humans Laboratories Medical research Neoplasms - genetics Neoplasms - metabolism Neoplasms - pathology p53 Protein Pathology Pathology integromics Questioning Ribonucleic acid RNA Technical Note Therapeutic applications
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