Initial modules created by assigning the top 250 targets to each of 7 transcriptional regulators involved in the early neuronal differentiation of primates (regulators). For each regulator, the top 250 targets were selected based edge weights in the consensus network: all targets of the regulator were ranked based on their edge weight to the regulator (regulator-taregt adjacency) and the 250 targets with the highest regulator-target adjacencies were kept.
Format
A data frame with 1750 rows and 8 columns:
- regulator
Character, transcriptional regulator.
- target
Target gene of the transcriptional regulator (member of the regulator's initial module).
- weight
Consensus edge weight/adjacency, the weighted average of replicate-wise adjacencies.
- rho
Approximate Spearman's correlation coefficient of the 2 genes' expression profiles that form the edge.
- p.adj
BH-corrected approximate p-value of rho.
- direction
Direction of the interaction between the 2 genes that form the edge ("+" or "-").