Statistical Computing Methods for Imaging Data Processing

Many high dimensional data sets such as imaging mass spectrometry (IMS) and functional magnetic resonance imaging (fMRI) data are of the hyper-spectral imaging (HSI) type. Advanced mathematical tools and statistical techniques not only provide significance analysis of experimental data sets but also can help in finding new data features/patterns, guiding biological experiments designs, as well as leading computational tools development. In this mini-symposium, we would like to take this opportunity to exchange rearch ideas on statistical computing methods for imging data processing. Topics incude machine learning, multivariate statistical tools for imaging data analysis and feature selection or pattern recognition.