Title :
Constructing regulatory gene set networks to reveal novel insights into biological systems
Author :
Suphavilai, Chayaporn ; Liugen Zhu ; Chen, J.Y.
Author_Institution :
Dept. of Comput. & Inf. Sci., Purdue Univ., Indianapolis, IN, USA
Abstract :
In this study, we proposed an approach for constructing directed, regulatory gene set networks to reveal novel relationships among gene sets. Results from this study showed that regulatory gene set networks can provide complementary information to existing types of gene set networks and explain underlying mechanisms of a disease.
Keywords :
diseases; genetics; genomics; biological systems; disease mechanisms; regulatory gene set network construction; Alzheimer´s disease; Biological processes; Crosstalk; Educational institutions; Image edge detection; Proteins; gene regulatory networks; gene set networks; pathway crosstalk networks;
Conference_Titel :
Computational Advances in Bio and Medical Sciences (ICCABS), 2014 IEEE 4th International Conference on
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4799-5786-6
DOI :
10.1109/ICCABS.2014.6863927
