Module Anchored Network Inference: A Sequential Module-Based Approach to Novel Gene Network Construction from Genomic Expression Data on Human Disease Mechanism

Figure 7

Dynamic adipogenesis network constructed by MANI. The two inputs of the network were (time-invariant constant input) and (sigmoid input). The network, besides representing gene relationships collected from MANI windows in Figure 6, was also organized according to the genes’ likely times of activation in the cascade. A gene’s time of activation in the cascade was derived from a gene’s lag in its time-series expression data. Based on the ranges of times of activation in the cascade, genes were grouped in appropriate time zones in the cascade (marked by dashed vertical lines). Arranging genes in such a manner enhanced the dynamical nature of the network. Gene relationships in this MANI constructed adipogenesis network that were verified using literature are indicated with a green tick mark.