What Are the Future Directions in Using K Centroids for Cancer Research?
The future of using K centroids in cancer research lies in integrating multi-omics data, which includes genomics, transcriptomics, proteomics, and metabolomics. By combining these diverse data types, researchers can gain a more comprehensive understanding of cancer biology and identify novel biomarkers and therapeutic targets. Additionally, advancements in machine learning and artificial intelligence are expected to enhance the accuracy and efficiency of clustering algorithms, leading to more precise and personalized cancer treatments.
