In the Survival Analysis, it allows researchers to investigate the co-occurring events affecting patient survival by entering single or more targets and defining the subgroup of specific patients. We offer two analysis methods,  Survival analysis according to MUTATION and  Survival analysis according to EXPRESSION.
In addition, we provide three types of stratification methods (All.high vs. Others; High vs. Low; By num. of high) in Survival by EXPRESSION and two types (Mutation vs. Wild type; By num. of mutant gene) in Survival by MUTATION. We also provide four categories of survival endpoint, including overall survival (OS), progression-free interval (PFI), disease-free interval (DFI) and disease-specific survival (DSS), and other critical survival analysis related factors in this function for users to select.

“Driver gene identification”, which was the “Meta-analysis” function in the previous DriverDBv2, provides the similar visualization in ‘The Cancer Mutation’. This function offers visualizations to illustrate the mutation drivers identified by bioinformatics tools in user-defined samples.