Resolution:
## Figure 7.
Model Complexity Curve. This figure shows a plot of the number of edges learned by the MRF as a function
of the model complexity parameter, λ (A) on the permuted GPCR MSA (Null model) and (B) on the GPCR MSA. This exercise was carried out to define ‘robust’ edges or edges
which are selected at a zero false positive rate. The penalty for which the number
of edges goes to zero is λ = 38 for the permuted GPCR MSA and this is used as the
parameter for defining ‘robust’ edges. The number of edges goes to zero at around
λ = 450 for GPCR MSA. The smaller the parameter the denser the model and larger the
parameter the sparser the model.
Moitra |