TY - JOUR AU - de Anda-Jáuregui, Guillermo PY - 2019 DA - 2019/04/18 TI - Guideline for comparing functional enrichment of biological network modular structures JO - Applied Network Science SP - 13 VL - 4 IS - 1 AB - The use of networks to analyze biological data, such as large gene or protein expression datasets, is on the rise. Often, there is an interest of identifying modules (or communities) of biological molecules that may be associated to known functions. This functional modularity analyses usually revolve around a workflow that combines 1) a method for network reconstruction from biological data, 2) a community or clustering algorithm on a network, and 3) an enrichment analysis to associate modules to known biological categories. With this, it is possible to identify sets of functions associated to modules in networks of distinct biological conditions, allowing for the comparison of such different phenotypes. SN - 2364-8228 UR - https://doi.org/10.1007/s41109-019-0128-1 DO - 10.1007/s41109-019-0128-1 ID - de Anda-Jáuregui2019 ER -