Bidirectional relationships and attractor structure of Boolean networks Conference Paper

abstract

• Inferring Boolean networks from non-temporal data suffers from a lack of directionality of the prediction. As a result, inferred networks often possess spurious non-singleton attractor cycles inconsistent with the assumption that the data represent the steady-state of the real genomic regulatory system. Bidirectional gene relationships can be responsible for non-singleton attractor cycles and thereby adversely affect network design. We present several results relating bidirectional gene relationships to attractor cycles. 2007 IEEE.

name of conference

• 2007 IEEE International Workshop on Genomic Signal Processing and Statistics

authors

• Dougherty, Edward
• Ivanov, Ivan

published proceedings

• 2007 IEEE INTERNATIONAL WORKSHOP ON GENOMIC SIGNAL PROCESSING AND STATISTICS

author list (cited authors)

• Vahedi, G., Ivanov, I., & Dougherty, E. R.

citation count

• 0

complete list of authors

• Vahedi, Golnaz||Ivanov, Ivan||Dougherty, Edward R

publication date

• June 2007

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

• Biotechnology

Digital Object Identifier (DOI)

• 10.1109/gensips.2007.4365822

International Standard Book Number (ISBN) 10

• 1424409993

International Standard Book Number (ISBN) 13

• 978-1-4244-0998-3

start page

• 7

end page

• +

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fgensips.2007.4365822