Integrative Analysis of Many Weighted Co-Expression Networks Using Tensor Computation
Figure 4
Comparison between weighted and unweighted network analysis.
The weighted networks were transformed to unweighted networks by dichotomizing edges with an expression correlation cutoff of 0.6. The proposed tensor method was then applied to both weighted and unweighted networks. We compared rates of functional homogeneity detected in the top modules, ranked by (A) recurrences or (B) average heaviness in their datasets of occurrence. Weighted graph analysis consistently outperforms unweighted graph analysis.