Survival analyses

Here you find several modules for correlation of survival with gene-expression.

Kaplan-Meier Basic tool to generate Kaplan-Meier survival curves from your expression matrix' hybridisation annotations.
Survival scan A tool to find genes which might predict differential survival when patients from a group are divided in up-/down-regulated subgroups.
Survival scan 2 Applied to 3 groups. Find genes differentially regulated in patient group 2 <=> 3. Try to find genes in group1 which might predict differential survival when patients from group1 are divided in Group2/3 similar patients.
Survival filter 4 Applied to 1 sample group.
Assign samples to relatice donw/up regulated classes
Compute KM, medain survival, log rank test between groups and filter.
Cox regression Cox regression (or proportional hazards regression) is method for investigating the effect of several variables upon the time a specified event takes to happen. In the context of an outcome such as death this is known as Cox regression for survival analysis.
SUMO calls R's coxph fuction.