A weighted linear model between the total tree length and within-species diversity of the 12 modules in the subsetted early neuronal differentiation dataset. It captures the general relationship between the two tree-based statistics in this dataset and thus also describes the expected total tree length for any given within-species diversity. By identifying modules that differ the most from this expectation, i.e. identifying the outlier data points, it can be used to pinpoint conserved and overall diverged modules. In combination with jackknifing, it can also be used to identify target genes within these modules that contribute the most to the conservation/divergence. The linear model was fit by calling lm with weights inversely proportional to the variance of the total tree lengths.
Format
An object of class lm fitted on the object tree_stats with the formula "total_tree_length ~ within_species_diversity".