How Are Machine Learning and AI Used in Gene Expression Analysis?
Machine learning and AI are increasingly being used to analyze gene expression data. Techniques such as clustering and classification algorithms can identify patterns and subtypes within the data. Deep learning approaches, like neural networks, can handle the high-dimensional nature of the data and uncover complex relationships. These methods can enhance the predictive power of gene expression studies and contribute to personalized medicine.
