Exact(1)
The in-silico minimal set of compounds needed for the endosymbiont in order to produce all biomass components was predicted for both model versions (iCG238 and iMP240), using an optimization algorithm (see Minimal Medium Prediction in Methods section).
Similar(7)
To tackle those problems, Minimal Cut Sets (MCSs) can be computed in interaction graphs which are minimal sets of compounds or/and edges that have to be removed to interrupt a given set of paths and/or feedback loops [ 10].
The last step in a CoMFA is a partial least square analysis to determine the minimal set of grid points which is necessary to explain the biological activities of the compounds.
Similar to MCSs in metabolic networks, a MIS is a minimal set of interventions by which a user-defined intervention goal (e.g. the permanent activation/deactivation of certain compounds) will be satisfied.
Thus, the minimal set of TFs proposed could be biased towards those expressed at higher levels.
A minimal cut set (MCS) has been defined as a minimal set of reactions whose removal blocks the operation of a chosen objective reaction.
Learning results from selecting an optimal minimal set of features to achieve recognition.
The extension defined a minimal set of non-functional attributes of parallel components.
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