Causal Discovery for Time-Series Data.
Functional directed cyclic graphs.
Discover causality from heterogeneous continuous observational data with directed cyclic graphs.
A hierarchical reciprocal graphical models to infer gene networks from heterogeneous data with or without known groups.
A Gaussian reciprocal graphical model for inference about gene regulatory relationships by integrating mRNA gene expression and DNA level information including copy number and methylation.