Powerful Machine-Learning Technique Uncovers Unknown Features of Important Bacterial Pathogen

Innovation Toronto - Story cites research conducted by Deborah Hogan, associate professor of microbiology and immunology, and Casey Greene, adjunct assistant professor of genetics, using a system of denoising autoencoders to analyze many large datasets that measure how genes in the bacteria are expressed in different conditions.