A Bayesian Approach for Uncovering Gene Network Motifs Conference Paper

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. 2007 IEEE.

name of conference

• 2007 IEEE International Workshop on Genomic Signal Processing and Statistics

authors

• Dougherty, Edward

published proceedings

• 2007 IEEE International Workshop on Genomic Signal Processing and Statistics

author list (cited authors)

• Yin, Y., Huang, Y., Shanmugam, V., Brun, M., Hua, J., & Dougherty, E. R.

citation count

• 0

complete list of authors

• Yin, Yufang||Huang, Yufei||Shanmugam, Viji||Brun, Marcel||Hua, Jianping||Dougherty, Edward R

publication date

• June 2007

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Cancer
• Genetics

Digital Object Identifier (DOI)

• 10.1109/gensips.2007.4365838

International Standard Book Number (ISBN) 10

• 1424409993

International Standard Book Number (ISBN) 13

• 9781424409990

start page

• 1

end page

• 2

URL

• http://dx.doi.org/10.1109/gensips.2007.4365838