Assess synteny network based on graph properties
Arguments
- synnet
Edge list for the synteny network in a 2-column data frame, with columns 1 and 2 representing names of loci in anchor 1 and anchor 2, respectively.
- cc_type
Type of clustering coefficient to be calculated. One of 'global' or 'average'. Default: 'average'.
Value
A data frame with the following variables:
- CC
Numeric representing clustering coefficient.
- Node_count
Numeric representing number of nodes in the network.
- Rsquared
Numeric indicating the coefficient of determination for the scale-free topology fit.
- Score
Numeric representing network score, which is the product of 'CC' and 'Node_number'.
Details
Network score is the product of the network's clustering coefficient, node count, and R squared for the scale-free topology fit.
Examples
data(synnet)
assess_synnet(synnet)
#> CC Node_count Rsquared Score
#> 1 0.877912 149144 0.6806854 89125.76