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  • About
    • The mission
    • Contacts
    • People who are involved
    • External Advisory Board
  • Events
    • HPC4AI – Intelligenza Artificiale e Big Data: opportunità e servizi al Politecnico
    • 6th SmartData@Polito Workshop
    • Computing@PoliTO Workshop
  • Seminars
    • Uncertainty damping in the macroscopic forecast of vehicular traffic flow
    • Information Exposure for Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach
    • Issues in Spatial Databases and Geographic Information Systems (GIS)
  • Education
    • Courses for PhD students
    • PhD Course: Data Science for Networks
    • PhD Course: Introduction to Random Matrices – Theory and Practice
    • Alta Scuola Politecnica: Winter School 2019
  • Research
    • Publications
    • Current PhD
    • Projects
    • Open Datasets & Libraries
    • Topics
  • Open Positions
    • open position – Assistant Professor with time contract (RTD-A)
    • open position – PostDoc researchers
    • Open position – Technologist
    • open position – PhD student
  • BigData@Polito Cluster
    • Computing Facilities
    • Request BigData@Polito Account
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Home » Publications » An analytic approximation of the feasible space of metabolic networks

An analytic approximation of the feasible space of metabolic networks

Alfredo Braunstein, Anna Paola Muntoni, Andrea Pagnani (2017) An analytic approximation of the feasible space of metabolic networks, In: NATURE COMMUNICATIONS, pp. 14915, ISSN: 2041-1723

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