craneBipartite: Pertrubs the bipartite network with fixed node strength

In netZoo/netZooR: Unified methods for the inference and analysis of gene regulatory networks

Pertrubs the bipartite network with fixed node strength

Description

Pertrubs the bipartite network with fixed node strength

Usage

craneBipartite(df, alpha = 0.1, beta = 0, getAdj = F, randomStart = F)

Arguments

df	Adjacency Matrix or Edge list
alpha	alpha paramter perturbs each edge weights
beta	beta parameter perturbs the strength of each node. Set this to 0 if you want nodes to have node strength identical to the orignal network.
getAdj	TRUE = this will return adjacency matrix instead of edge list
randomStart	FALSE = initialize the first row with completely random edge weights.

Value

edge list

Examples

## Not run: 

# Using Edge list as input
elist=craneBipartite(nonAng)
elist=craneBipartite(nonAng,alpha=0.3)

# Using Edge list as input and Adjcency Matrix as output
adjMatrix=craneBipartite(nonAng,alpha=0.1,getAdj=T)

# Using Edge list as input and Adjcency Matrix as output
A=elistToAdjMat(nonAng)
elist=craneBipartite(A)


## End(Not run)

netZoo/netZooR documentation built on June 8, 2024, 6:20 a.m.