New publication on feature selection for temporal data

MXM new work adapts constraint-based, feature selection algorithm to data that are measured at multiple time points. This approach can be used, for example, to identify the genes whose expression over time has a trajectory highly predictive for a given disease. Check out the paper at the BMC Bioinformatics website (link) and the implementation in the MXM R package (link)