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.
Overview
Syllabus
Introduction
Setup
Data Analysis
Survival Analysis
Gene Expression
Training Model
Taught by
LiquidBrain Bioinformatics
