Explore a comprehensive 50-minute tutorial on identifying TCGA biomarkers using machine learning techniques. Learn to install necessary packages, import libraries, and utilize TCGA Biolinks for data retrieval. Discover methods for structuring and filtering input data, performing normalization, and conducting PCA analysis. Dive into neural network construction, model training, and saving models as HDF5 files. Extract weights, biases, and genes of interest from the trained model. Conduct gene set enrichment analysis and interpret results. Gain insights into potential limitations of this approach while following along with provided slides and scripts. Perfect for those interested in bioinformatics and machine learning applications in cancer research.