| Random Background distributions of Traits | R Documentation | 
Create a random background distribution of distances between genes in a random trait. When multiple distance metrics are provided, a composite Z score is calculated. The background distribution is determined by first random sampling two genomes. Between the two genomes the overlap in annotations is determined. Based on the overlap a trait is artificially created containing N annotations. For each annotation in the trait, the distances are calculated between Genome A and Genome B, as described in the previous section
Random_Trait_Background( RNAseq.data, bkgd.individual.Zscores, N, metrics, Z, threads = 4 )
RNAseq.data | 
 Collection of multple components, include RNA seq data, annotations, etc. See   | 
N | 
 Number of genes to include in the random module  | 
metrics | 
 Named list containing possibly multiple functions for distance  | 
Z | 
 Number of iterations, if left empty the actual sizes of the modules in the database will be used.  | 
threads | 
 Number of cpu cores to be used  | 
JJM van Steenbrugge BO Oyserman
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