Our publications related to cancer biomarkers
DUSP4 is associated with increased resistance against anti-HER2 therapy in breast cancer. Oncotarget. 8(44):77207-77218.
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2017. Jetset: selecting the optimal microarray probe set to represent a gene. BMC Bioinformatics. 12:474.
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2011. 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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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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2012. TP53 mutation-correlated genes predict the risk of tumor relapse and identify MPS1 as a potential therapeutic kinase in TP53-mutated breast cancers.. Mol Oncol. 8(3):508-19.
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2014. TP53 mutation-correlated genes predict the risk of tumor relapse and identify MPS1 as a potential therapeutic kinase in TP53-mutated breast cancers.. Mol Oncol. 8(3):508-19.
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2014. A meta-analysis of gene expression-based biomarkers predicting outcome after tamoxifen treatment in breast cancer.. Breast Cancer Res Treat. 140(2):219-32.
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2013. miRpower: a web-tool to validate survival-associated miRNAs utilizing expression data from 2178 breast cancer patients. Breast Cancer Res Treat. 160(3):446.
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2016. 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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2010.