Title :
Composite Gene Module Discovery using Non-negative Independent Component Analysis
Author :
Gong, Ting ; Xuan, Jianhua ; Zhu, Yitan ; Li, Huai ; Clarke, Robert ; Hoffman, Eric P. ; Wang, Yue
Author_Institution :
Dept. of Electr. & Comput. Eng., Virginia Polytech. Inst. & State Univ., Arlington, VA
Abstract :
Gene module discovery can provide comprehensive molecular portrait of biological regulation and functional genomics. We present a new analytic strategy - nonnegative independent component analysis to reveal some gene module composite. The results show that by grouping genes in the latent space, we can find statistically more significant enrichment of gene annotations within clusters. Further, this approach has been applied to a muscular dystrophy data set for gene module discovery
Keywords :
genetics; independent component analysis; medical computing; molecular biophysics; muscle; biological regulation; composite gene module discovery; functional genomics; gene annotations; muscular dystrophy data; nonnegative independent component analysis; Bioinformatics; Biological processes; Biological system modeling; Cancer; Clustering methods; Cost function; Gene expression; Genomics; Independent component analysis; Vectors;
Conference_Titel :
Life Science Systems and Applications Workshop, 2006. IEEE/NLM
Conference_Location :
Bethesda, MD
Print_ISBN :
1-4244-0277-8
Electronic_ISBN :
1-4244-0278-6
DOI :
10.1109/LSSA.2006.250434
