Assesss cancer gene expression data vs survival analysis (Kaplan Meier (KM) / Cox Proportional Hazards (Coxph))

 Relate the expression of any gene to survival potential using the embedded tools available in the R2 open online datascience tool ( https://r2.amc.nl ). Scan for genes with potential using Cox proportional hazard analysis, and explore those in more details, using the interactive visualization tools. Or alternatively find genes with the optimal logrank separation and view those in interactive Kaplan Meier plots. With the identified cut-off(s), you can easily create a new grouping variable and use those to perform in depth analyses, such as differential expression within a few click of the mouse. Any gene of interest can also be validated in numerous other resources that are publicly available as well (n>2500 resources). All this and much much,more is available in the free open online R2 platform ( https://r2.amc.nl ).



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