Machine Learning Provides New Paradigm in Understanding Microbial Gene Regulation
UC San Diego bioengineers developed a method that would enable them to understand how E. coli coordinate their expression of thousands of genes. The method uses a machine learning algorithm to automatically interpret gene expression datasets.