What are Some Successful Applications of Unsupervised Learning in Cancer Research?
Unsupervised learning has been successfully applied in various areas of cancer research. For example, it has been used to classify breast cancer into different molecular subtypes based on gene expression profiles. In another application, clustering algorithms have helped identify novel biomarkers for early detection of lung cancer. Additionally, unsupervised learning has been used to uncover the tumor microenvironment landscape, which is crucial for understanding cancer progression and treatment response.
