Muhammad Ammar Malik and Tom Luk Michoel published a paper in which they analyse the mathematical structure of a class of statistical models for learning hidden factors influencing gene expression data and show that a new algorithm based on the analytical results is orders of magnitude faster than the standard algorithms for solving this class of models. Read the paper here.