Why is Model-Based Clustering Important in Cancer Research?
Cancer is a highly heterogeneous disease, with significant variability between and within tumor types. Model-based clustering allows researchers to dissect this complexity by identifying distinct subgroups of patients or tumor samples. This can lead to the discovery of novel biomarkers, insights into cancer progression, and the development of targeted therapies. By classifying patients into subtypes, clinicians can tailor treatments to improve outcomes and reduce side effects.
