A benchmark-driven approach to reconstruct metabolic networks for studying cancer metabolism
Fig 13
Hierarchical clustering of TRFBA-CORE performance scores.
Hierarchical clustering (Euclidean distance) of the scores TRFBA-CORE received in different benchmarks. Despite being a GEM extraction approach, TRFBA-CORE was clustered with algorithms that do not trim the input model. TRFBA-CORE scores were generally higher in comparison benchmarks. Numbers in column correspond to comparison (blue color) or consistency (red color) benchmarks: 1-growth rate, 2- metabolite uptake/secretion rates, 3- drug response, 4- essential genes, 5- enrichment of OG/TS/LOFs, 6- fraction of blocked reactions, 7- resolution power, 8- robustness to missing data, and 9- robustness to noise. Colorbar indicates normalized performance scores.