Powerful machine-learning technique uncovers unknown features of important bacterial pathogen
Thursday, January 21, 2016 - 07:24
in Biology & Nature
A powerful new machine-learning technique can be applied to large datasets in the biological sciences to uncover previously unknown features of organisms and their genes, according to a team led by researchers from the Perelman School of Medicine at the University of Pennsylvania. For example, the technique learned the characteristic gene-expression patterns that appear when the bacterium is exposed to low-oxygen conditions and robustly identified changes that occur in response to antibiotics.