Pathway Analysis in the Context of Bayesian Networks Mathematical Modeling of Master and Canalizing Genes Conference Paper

abstract

• We utilize a tree-structured Bayesian network to characterize and detect master and canalizing genes via the coefficient of determination (CoD). Master genes possess strong regulation over groups of genes, whereas canalizing genes take over the regulation of large cohorts under certain cell conditions. While related, the two concepts are not the same and the analytic measures we employ reveal that difference. We also consider hypothesis testing for successful drug intervention in the framework of the Bayesian model. 2011 IEEE.

name of conference

• 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)

authors

• Dougherty, Edward
• Ivanov, Ivan

published proceedings

• 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)

author list (cited authors)

• Zhao, C., Ivanov, I., Bittner, M. L., & Dougherty, E. R.

citation count

• 0

complete list of authors

• Zhao, Chen||Ivanov, Ivan||Bittner, Michael L||Dougherty, Edward R

publication date

• December 2011

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE International Workshop on Genomic Signal Processing and Statistics : [proceedings]. IEEE International Workshop on Genomic Signal Processing and Statistics  Journal

keywords

• Genetics

Digital Object Identifier (DOI)

• 10.1109/gensips.2011.6169444

International Standard Book Number (ISBN) 13

• 9781467304900

start page

• 64

end page

• 65

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fgensips.2011.6169444