particleMDI : a Julia Package for the Integrative Cluster Analysis of Multiple Datasets

We present particleMDI, a Julia package for performing integrative cluster analysis on multiple heterogeneous data sets, built within the framework of multiple data integration (MDI). particleMDI updates cluster allocations using a particle Gibbs approach which offers better mixing of the MCMC chain---but at greater computational cost---than the original MDI algorithm. We outline approaches for improving computational performance, finding the potential for greater than an order-of-magnitude improvement. We demonstrate the capability of particleMDI to uncovering the ground truth in simulated and real datasets. All files are available at https://github.com/nathancunn/particleMDI.j