Researchers from Dartmouth's Norris Cotton Cancer Center, led by Casey S. Greene, PhD, reported in Pacific Symposium on Biocomputing on the use of denoising autoencoders (DAs) to effectively extract key biological principles from gene expression data and summarize them into constructed features with convenient properties.