alpacaCrane: Find the robust nodes in ALPACA community using CRANE

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

Find the robust nodes in ALPACA community using CRANE

Description

Find the robust nodes in ALPACA community using CRANE

Usage

alpacaCrane(input, alp, alpha = 0.1, beta = 0, iteration = 30, isParallel = F)

Arguments

input	same input for alpaca: first column TF, second column Genes, third column edge weights from baseline condition, fourth column edge weights from disease condition.
alp	alpca object in list format (output from alpaca package)
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.
iteration	Number of CRANE distributions to create. Higher value leads to better ranking but longer runtime.
isParallel	TRUE = use Multithread / FALSE = do not use Multithread

Value

list of data frames

Examples

## Not run: 

input=cbind(nonAng,ang[,3])
alp=alpaca(input,NULL,verbose = F)
alpListObject=alpacaCrane(input, alp, isParallel = T)


## End(Not run)

netZoo/netZooR documentation built on Oct. 16, 2024, 10:23 p.m.