Result of an ABC inference — resabc • networkABC

Result for the reverse engineering of a simulated Cascade network

resabc

Format

A list of 14 objects :

data: : The microarray data used, rows are genes and columns are time points.)
ngenes: : The number of genes.)
ntimes: : The number of timepoints)
clust_size: : the size of clusters
clust_coeffs: : the clustering coefficient
tolerance: : the tolerance between the generated networks and the reference network
number_hubs: : number of hubs in the network
iterations: : number of times to repeat ABC algorithm
number_networks: : number of generated networks in each iteration of the ABC algorithm
hub_probs: : one-dimensional array of size number_genes for the each label to be in the role of a hub
neighbour_probs: : matrix of neighbour probabilities of size number_nodes*number_nodes
is_probs: : is equal to 1 since hub_probs and neighbour_probs were specified