Data from: ConfeitoGUI: a toolkit for size-sensitive community detection from a correlation network

Analysis of the large amounts of data accumulated in public databanks can
facilitate a more comprehensive understanding of molecular biological
processes. Community detection from molecular biological data is paramount
in characterizing evolutionary and functional traits of organisms based on
gene homology and co-expression, respectively. Although there are common
tools to detect local communities from a large network, no toolkit exists
for detecting communities that include an element of interest based on
size sensitivity, i.e., functionality to obtain local communities with
preferred sizes. Herein, we present the ConfeitoGUI toolkit for detecting
local communities from a correlation network involving size sensitivity.
We compared the toolkit with other common tools for detection in
reconstructing communities of microarray experiments of mice. In the
results, ConfeitoGUI was observed to be preferable for detecting
communities whose sizes are similar to those of original communities
compared to other common tools. By changing simple parameters representing
sizes for the toolkit, a user can obtain local communities with preferred
sizes, which is beneficial for further analysis of members belonging to
the communities.