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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