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Summary: © Oxford University Press 2005 1
Original Paper
A Systematic Framework for the Synthesis and Analysis of Regulatory
Networks
P. Foteinou1
, E. Yang1
, G.K. Saharidis2
, M.G. Ierapetritou2
and I.P. Androulakis1,2,*
1
Department of Biomedical Engineering, Rutgers University, NJ 08854
2
Department of Chemical and Biochemical Engineering, Rutgers University, NJ 08854
*Corresponding Author
ABSTRACT
Motivation: The reverse engineering of regulatory networks is
emerging as a viable method for deciphering the transcriptional
regulation programs that underlie gene expression. In this paper we
propose an optimization model that combines prior biological infor-
mation and expression data to identify multiple regulatory structures
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