Novel Algorithm Sheds Light on Cellular Network Structure

Northwestern University researchers say they have developed a new machine-learning algorithm that can help scientists better understand the genetic interactions inside cellular networks. Called "Sliding Window Inference for Network Generation," or SWING, the algorithm uses time-series data to reveal the underlying structure of cellular networks.The research (“Windowed Granger causal inference strategy improves discovery of gene regulatory networks”) is published in PNAS .“Accur