Optimization Methods in Metabolic Networks

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A01=Ali R. Zomorrodi
A01=Costas D. Maranas
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Author_Ali R. Zomorrodi
Author_Costas D. Maranas
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Bilevel optimization
Category1=Non-Fiction
Category=PS
Category=TCB
Category=TDC
Category=TDCB
COP=United States
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eq_nobargain
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Flux Balance Analysis
Language_English
Mathematical optimization
Metabolic network modeling
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Price_€100 and above
PS=Active
softlaunch

Product details

  • ISBN 9781119028499
  • Weight: 599g
  • Dimensions: 163 x 241mm
  • Publication Date: 15 Apr 2016
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Provides a tutorial on the computational tools that use mathematical optimization concepts and representations for the curation, analysis and redesign of metabolic networks 
  • Organizes, for the first time, the fundamentals of mathematical optimization in the context of metabolic network analysis
  • Reviews the fundamentals of different classes of optimization problems including LP, MILP, MLP and MINLP
  • Explains the most efficient ways of formulating a biological problem using mathematical optimization
  • Reviews a variety of relevant problems in metabolic network curation, analysis and redesign with an emphasis on details of optimization formulations
  • Provides a detailed treatment of bilevel optimization techniques for computational strain design and other relevant problems

Costas D. Maranas is a Donald B. Broughton Professor in the Department of Chemical Engineering at Pennsylvania State University, USA. Dr. Maranas is a Fellow of the American Institute of Medical and Biological Engineering (AIMBE). In 2002 he was awarded by AIChE the Allan P. Colburn Award for Excellence in Publications by a Young Member of the Institute.

Ali R. Zomorrodi obtained his PhD in Chemical Engineering at Pennsylvania State University and is currently a Postdoctoral Research Associate at Boston University, USA. Dr. Zomorrodi's areas of expertise include optimization-based modeling and model-driven analysis of biological networks.

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