Title :
A Bayesian Approach for Uncovering Gene Network Motifs
Author :
Yin, Yufang ; Huang, Yufei ; Shanmugam, Viji ; Brun, Marcel ; Hua, Jianping ; Dougherty, Edward R.
Author_Institution :
Univ. of Texas at San Antonio, San Antonio
Abstract :
Gene network motifs are the recurring regulatory structural patterns in gene networks. For uncovering gene network motifs, we investigate a novel Bayesian approach based on the popular turbo algorithm. The motivation for using turbo algorithm is based on the subtle similarity between the network motifs detection and turbo decoding in communications. The proposed method has been tested on two types of human cancer microarray data.
Keywords :
Bayes methods; cancer; genetic engineering; genetics; Bayesian approach; gene network; human cancer microarray data; regulatory structural patterns; turbo algorithm; turbo decoding; Bayesian methods; Bioinformatics; Cancer detection; Decoding; Genomics; Humans; Neoplasms; Robustness; Testing; Uncertainty;
Conference_Titel :
Genomic Signal Processing and Statistics, 2007. GENSIPS 2007. IEEE International Workshop on
Conference_Location :
Tuusula
Print_ISBN :
978-1-4244-0998-3
Electronic_ISBN :
978-1-4244-0999-0
DOI :
10.1109/GENSIPS.2007.4365838
