Our publications related to cancer biomarkers
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2015. Dynamic classification using case-specific training cohorts outperforms static gene expression signatures in breast cancer.. Int J Cancer. 136(9):2091-8.
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2012. RecurrenceOnline: an online analysis tool to determine breast cancer recurrence and hormone receptor status using microarray data. Breast Cancer Res Treat. 132:1025-34.
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2010. An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients. Breast Cancer Res Treat. 123:725-31.
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2009. Meta-analysis of gene expression profiles related to relapse-free survival in 1,079 breast cancer patients. Breast Cancer Res Treat. 118:433-41.
How to cite the RS calculator
RecurrenceOnline: an online analysis tool to determine breast cancer recurrence and hormone receptor status using microarray data, Breast Cancer Res Treat (2012). Read it here.
How to cite the dynamic re-training algorithm
Dynamic classification using case-specific training cohorts outperforms static gene expression signatures in breast cancer, Int J Cancer (2015). Read it here.
Techshow
On the Hungarian Innovation TechShow RecurrenceOnline has been selected as one of the 21 most innovative ideas shaping our future.
Semmelweis Journal
RecurrenceOnline has been described in the Semmelweis Journal. Read the pdf version here (only in Hungarian).
Projects
RecurrenceOnline was featured in Projects Magazine, Europe's leading science and technology research magazine. Download the pdf here.