Transformative Applications Of Deep Learning In Regulatory Genomics And Biological Imaging

This article explores the applications of deep learning in regulatory genomics and cellular imaging, highlighting its ability to handle large datasets and make accurate predictions without prior knowledge of biological mechanisms. It also discusses the importance of data preprocessing, feature extraction, and model evaluation in the machine learning workflow.