What Are Some Real-World Applications of Hierarchical Clustering in Cancer?
Hierarchical clustering has been applied in numerous real-world cancer studies. For instance, it has been used to classify breast cancer subtypes based on gene expression profiles, leading to more personalized treatment approaches. It has also been employed to identify prognostic biomarkers in various cancers, aiding in predicting patient outcomes and responses to therapy.
