What Are Some Real-World Applications of HMM in Cancer?
Several real-world applications of HMM in cancer research include:
Analyzing single-cell RNA sequencing data to understand tumor heterogeneity. Detecting epigenetic changes that occur during cancer development. Modeling the progression of cancer through different stages based on patient data. Predicting the emergence of drug resistance in cancer treatment.
