A novel concept of quantifying graph non-isomorphism is introduced to measure structural differences between graphs, and thus overcoming the strict limitations of traditional graph isomorphism tests.

The sparsity of causal interpretation in medical sciences 1,2,3 and the need to utilize it using high-throughput genomic and transcriptomic data, combined with the wider availability of computational ...