Customized Analysis
Survival analysis of single/multiple gene(s) in user-defined samples
Driver gene identification by mutation profile of a user-defined samples (Example)
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This function assists researchers to investigate and
select well-defined cancer samples based on one or multiple clinical criteria,
and the selection panel for user-defined samples allows to filter genes,
dataset and clinical criterion.
The specific group of patients can be analyzed by
‘Driver Gene Identification’ or by ‘Survival Analysis’.
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Survival Analysis
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
“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.