Skip to main content
Figure 1 | Algorithms for Molecular Biology

Figure 1

From: A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data

Figure 1

Quantitative evaluation of the INSILICO network models. Statistical assessment of the LP-SLGNs estimated from the IN SILICO 1, IN SILICO 2, and IN SILICO 3 DREAM2 data sets [36]. The left column shows plots of "Sparsity" (Equation 6) versus the user-defined parameter A (Equation 3). The right column shows plots of "LOO Error" (Equation 7) versus Sparsity. Each plot shows results for an LP formulation based on a general class of linear functions (diamond) and a positive class of linear functions (cross).

Back to article page

Algorithms for Molecular Biology

ISSN: 1748-7188