Survival Analysis with TCGA Data in R - Create Kaplan-Meier Curves

Survival Analysis with TCGA Data in R - Create Kaplan-Meier Curves

Learn how to perform survival analysis using TCGA data in R, focusing on creating Kaplan-Meier curves. Explore the concept of survival analysis, its applications, and essential components like censoring. Discover methods for survival analysis and how to interpret Kaplan-Meier curves. Follow step-by-step instructions to download clinical data from the GDC portal, prepare gene expression data, and perform variance stabilization transformation. Master techniques for dividing cohorts based on expression levels, defining strata, and computing survival curves using survfit() and ggsruvplot(). Gain practical skills in utilizing the survival and survminer packages to conduct comprehensive survival analysis in R.