Explore survival analysis techniques using R and RStudio in this 35-minute tutorial focused on cancer data. Learn to predict time-to-event outcomes and analyze gene expression patterns in relation to disease severity. Follow along as the instructor demonstrates a complete survival analysis pipeline using The Cancer Genome Atlas (TCGA) data, based on a tutorial from RWTH Aachen University. Gain hands-on experience in handling and analyzing large-scale genomic data, including microarray and next-generation sequencing results. Cover topics such as data preparation, survival analysis methods, gene expression analysis, and model training. Download the provided R script to practice independently and enhance your bioinformatics skills in this increasingly important field of study.