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Home ยปOur publications related to cancer biomarkers

Our publications related to cancer biomarkers

Found 5 results
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  • Year(Asc)
Filters: Author is Gyorffy, B.  [Clear All Filters]
2012
Gyorffy B., Benke Z., Lanczky A., Balazs B., Szallasi Z., Timar J., Schafer R..  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.
2011
Li Q., Birkbak N.J, Gyorffy B., Szallasi Z., Eklund A.C.  2011.  Jetset: selecting the optimal microarray probe set to represent a gene. BMC Bioinformatics. 12:474.
2010
Gyorffy B., Lanczky A., Eklund A.C, Denkert C., Budczies J., Li Q., Szallasi Z..  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.
2009
Gyorffy B., Molnar B., Lage H., Szallasi Z., Eklund A.C.  2009.  Evaluation of microarray preprocessing algorithms based on concordance with RT-PCR in clinical samples. PLoS One. 4:e5645.
Gyorffy B., Schafer R..  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.

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RecurrenceOnline has been described in the Semmelweis Journal. Read the pdf version here (only in Hungarian).

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  • 2022.IV.8-13.: AACR Annual Meeting, New Orleans, USA

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