GraphMRcML - Causal Network Inference via Mendelian Randomization with cML and Network Deconvolution

Combines Mendelian randomization (constrained maximum likelihood, cML) and network deconvolution for inference of causal networks from GWAS summary data, as described in Lin, Xue, and Pan (2023) <doi:10.1371/journal.pgen.1010762>.