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
Balázs GyőrffyJoint Research Laboratory of the Hungarian Academy of Sciences and the Semmelweis University, Semmelweis University 1st Department of Pediatrics, Bokay u. 53-54, 1083, Budapest, Hungary. [email protected]András LánczkyJoint Research Laboratory of the Hungarian Academy of Sciences and the Semmelweis University, Semmelweis University 1st Department of Pediatrics, Bokay u. 53-54, 1083, Budapest, HungaryAron C. EklundCenter for Biological Sequence Analysis, Technical University of Denmark, Lyngby, DenmarkCarsten DenkertCharité Universitaetsmedizin, Berlin, GermanyJan BudcziesCharité Universitaetsmedizin, Berlin, GermanyQiyuan LiCenter for Biological Sequence Analysis, Technical University of Denmark, Lyngby, DenmarkZoltán SzállásiCenter for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark
2009en
ABI
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