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Table 4 The ten most fragile phenotypes

From: Predicting network modules of cell cycle regulators using relative protein abundance statistics

Phenotype # Phenotype name   
61 CLB2-db Δ multicopy SIC1 (Viable)   
18 cln1 Δ cln2 Δ cdh1 Δ (Viable)   
63 CLB2-db Δ clb5 Δ clb6 Δ in galactose (Viable)   
105 cdc15 Δ net1-ts cdh1 Δ (Viable)   
56 GAL-CLB2 cdh1 Δ (Inviable)   
20 cln1 Δ cln2 Δ cdh1 Δ GAL-CLN2 (Viable)   
59 CLB2-db Δ in galactose (Inviable)   
77 APC-A (Viable)   
78 APC-A sic1 Δ (Viable)   
73 CLB5-db Δ pds1 Δ (Viable)   
  1. Based on the sensitivity analysis in [22], these are the phenotypes that are most often lost (i.e., incorrectly simulated) when perturbations are applied to individual model parameters in feasible parameter vectors. Fragility decreases from top to bottom