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A MIXED INTEGER OPTIMIZATION ALGORITHM TO REVERSE ENGINEER
 

Summary: 1
A MIXED INTEGER OPTIMIZATION
ALGORITHM TO REVERSE ENGINEER
TRANSCRIPTIONAL REGULATORY
NETWORKS
P.T.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
A major goal in post-genomic era is to reverse engineer transcriptional regulatory networks. Advances in high-
throughout technologies e.g. DNA microarrays coupled with the working knowledge on the connectivity interactions
between putative regulators and their target genes have opened new opportunities for the application of reverse-

  

Source: Androulakis, Ioannis (Yannis) - Biomedical Engineering Department & Department of Chemical and Biochemical Engineering, Rutgers University

 

Collections: Engineering; Biology and Medicine