asyakhl / cancerrna_clustering Goto Github PK
View Code? Open in Web Editor NEWI use unsupervised learning methods (PCA, Hierarchical Clustering, and K-means Clustering) to subgroup 801 cancer samples into one of 5 clusters based on their gene expression profiles, 20, 531 gene expression measurements.