Information theoretic inference of direct gene regulation from time series data Conference Paper

abstract

• This paper considers the problem of inferring the oriented connectivity of genetic regulatory networks based on the time series gene expression profiles produced by DNA microarrays. The inference algorithm is implemented based on the minimum description length (MDL) principle. Simulation results show that for synthetic networks the proposed algorithm achieves a good performance, while in the presence of realistic time series data it is capable of providing novel insight into the inner structure of various regulatory circuitries. ©2006 IEEE.

name of conference

• 2006 IEEE International Workshop on Genomic Signal Processing and Statistics

authors

• Dougherty, Edward
• Serpedin, Erchin

published proceedings

• 2006 IEEE International Workshop on Genomic Signal Processing and Statistics

author list (cited authors)

• Zhao, W., Serpedin, E., & Dougherty, E

citation count

• 0

complete list of authors

• Zhao, Wentao||Serpedin, Erchin||Dougherty, Edward

publication date

• May 2006

publisher

• IEEE  Publisher

published in

• 2007 IEEE INTERNATIONAL WORKSHOP ON GENOMIC SIGNAL PROCESSING AND STATISTICS  Journal

keywords

• Bioengineering
• Biotechnology
• Genetics

Digital Object Identifier (DOI)

• 10.1109/gensips.2006.353128

International Standard Book Number (ISBN) 10

• 1424403855

International Standard Book Number (ISBN) 13

• 978-1-4244-0384-4

start page

• 5

end page

• 6