A metaheuristic method for simultaneous multi-media gap-filling of GEMs outperforms conventional ILP methods by 7.3% on Kendall Tau and 13.3% on RMS error.
Prediction of microbial growth rate versus biomass yield by a metabolic network with kinetic parameters.PLoS computational biology, 8(7):e1002575
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A Combinatorial Optimisation Approach to Multi-factorial Gap-filling in Genome-scale Metabolic Models (GEMs)
A metaheuristic method for simultaneous multi-media gap-filling of GEMs outperforms conventional ILP methods by 7.3% on Kendall Tau and 13.3% on RMS error.