Gaussian Processes for Inference in Biological Interaction Networks


at Exploring the Interface Between Mathematics and Bioscience, Manchester Interdisciplinary Biocentre, University of Manchester, U.K. on Apr 4, 2007 [pdf]
Neil D. Lawrence, University of Sheffield


In many biological applications key functions of interest, such as chemical species concentrations, are unobserved. In this talk we will briefly introduce Gaussian processes, which are probabilistic models of functions. We will show how they can be used, in combination with a simple differential equation model, to estimate the concentration of a transcription factor in a simple single input module network motif.