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Bidirectional Relationships and Attractor Structure of Boolean Networks

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3 Author(s)
Vahedi, G. ; Texas A&M Univ., College Station ; Ivanov, I. ; Dougherty, E.R.

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.

Published in:

Genomic Signal Processing and Statistics, 2007. GENSIPS 2007. IEEE International Workshop on

Date of Conference:

10-12 June 2007

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