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
Semmelweis University · Hungarian Academy of Sciences · +5 more institutions
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Abstract
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4,339
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- FWCI
- 5.45
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Authors
7- BGBalázs GyőrffyCorresponding
Semmelweis University, Hungarian Academy of Sciences
- ALAndrás Lánczky
Eötvös Loránd University, Semmelweis University, Hungarian Academy of Sciences, Pázmány Péter Catholic University
- ACAron C. Eklund
Technical University of Denmark
- CDCarsten Denkert
Charité - Universitätsmedizin Berlin
- JBJan Budczies
Charité - Universitätsmedizin Berlin
Topics & keywords
Topics
Keywords
- Breast cancer
- Oncology
- Proportional hazards model
- Hazard ratio
- Survival analysis
- Internal medicine
- Medicine
- Gene expression profiling
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