resabc {networkABC}

Result of an ABC inference

Description

Result for the reverse engineering of a simulated Cascade network

Usage

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