A network diffusion approach to inferring sample-specific function reveals functional changes associated with breast cancer
Table 2
Functions ranked based on expression variability of genes.
Top 10 (green) and bottom 10 (red) functions are shown based on log fold change of expression based activity (that is, number of annotated genes present in the corresponding projected PIN), along with Δf, Δf divided (normalized) by the total number of genes annotated by the function, followed by the sample shuffling results, and the log fold change.