In genomics, machine learning helps in understanding the vast amount of data generated by genome sequencing projects. It assists in identifying gene functions, genetic variations, and their associations with diseases. ML techniques such as deep learning can predict the effects of mutations and help in pinpointing disease-related genes, aiding in the development of targeted therapies.
