A mixed-integer optimization framework for the synthesis and analysis of regulatory networks

Journal of Global Optimization

Volumn 43, Issue 2-3, 2009, Pages 263-276

  Foteinou, Panagiota T ^a   Yang, Eric ^a   Saharidis, Georges K ^b   Ierapetritou, Marianthi G ^b   Androulakis, Ioannis P ^a,b  

^a RUTGERS UNIVERSITY   (United States)

^b The State University of New Jersey   (United States)

Author keywords

Bioinformatics; Gene regulation; Mixed integer linear optimization

Indexed keywords

BIOACTIVITY; BIOINFORMATICS; ESCHERICHIA COLI; GENE EXPRESSION; GLUCOSE; KNOWLEDGE BASED SYSTEMS; LAWS AND LEGISLATION; OPTIMIZATION; TRANSCRIPTION; TRANSCRIPTION FACTORS;

ALTERNATIVE STRUCTURES; BINDING DATUM; E. COLI; GENE EXPRESSION DATUM; GENE REGULATION; MIXED INTEGER LINEAR OPTIMIZATION; MIXED-INTEGER OPTIMIZATIONS; MODELING METHODOLOGIES; REGULATORY INTERACTIONS; REGULATORY NETWORKS; SOLE CARBON SOURCES;

INTEGER PROGRAMMING;

EID: 59449085751     PISSN: 09255001     EISSN: 15732916     Source Type: Journal    
DOI: 10.1007/s10898-007-9266-6     Document Type: Article

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