Survival analysis of single/multiple gene(s) in user-defined samples

Multi-omics driver analysis identifies driver events across multiple omics in the user-selected cancer dataset, focusing on user-defined Group 1 and Group 2 patients based on specific clinical criteria.

Subgroup expression analysis visualizes the expression patterns of a user-selected gene in a specific cancer subpopulation across a user-defined category.

This analysis identifies survival-related genes among the user-selected genes using LASSO and random forest methods. If you want to inspect specific candidate gene(s) and construct the signature, the signature identification analysis will suit you.

In the multivariate CoxPH analysis, over one hundred clinical factors were provided for selection, and the multivariate CoxPH model will be conducted. If you are interested in comparing specific candidate gene(s) with well-known clinical prognostic biomarker(s), this analysis will analyze and construct the multivariate model with customized clinical factors in the multivariate CoxPH analysis.

Please enter the Result ID of your customized analysis request.