![GRL_sample_similarity_PD](/uploads/-/system/project/avatar/3346/pic_network_omic_ssn.png?width=48)
GRL_sample_similarity_PD
Graph representation learning modelling pipeline exploiting sample-similarity networks derived from high-throughput omics profiles to learn PD-specific fingerprints from the spatial distribution of molecular abundance similarities in an end-to-end fashion. The scripts apply the graph representation learning modelling pipeline on sample-similarity networks of transcriptomics and metabolomics data from the PPMI and the LuxPARK cohort, respectively.