DocumentCode
191033
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
fYear
2014
fDate
2-4 June 2014
Firstpage
1
Lastpage
2
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICCABS.2014.6863927
Filename
6863927
Link To Document