These informative network visualizations offer an abundance of qualitative information and are a distinguishing feature of SNA.
In this article, we have directly compared functionally informative network characteristics of metabolic reaction systems of a wide variety of organisms and the reaction systems of planets and moons of the solar system.
This lack of informative network features confounds the PSP profiling approach.
We used a co-expression network to enhance the predictive power of the informative network.
It is also easy to decompose the underlying correlation matrix and generate informative network statistics such as the module eigenvector.
FunMod identifies within an informative network, pairs of nodes belonging to the same biological pathways and assesses their statistical significance.
Several algorithms and bioinformatic tools have been proposed for partitioning the network into structural modules, or for clustering sub-network modules within an informative network [15,16].
Unlike general networks, correlation networks allow assessment of the statistical significance of an edge (via a correlation test) and generate informative network statistics such as the module eigenvector.
