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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
    • Is Natural Language Processing the Holy Grail of Artificial Intelligence?
    • Uncertainty damping in the macroscopic forecast of vehicular traffic flow
    • Information Exposure for Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach
  • Education
    • Courses for PhD students
    • PhD Course: Data Science for Networks
    • Corporate training on Digital Transformation
    • PhD Course: Introduction to Random Matrices – Theory and Practice
  • 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
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Home » Publications » Predicting interacting protein pairs by coevolutionary paralog matching

Predicting interacting protein pairs by coevolutionary paralog matching

T. Gueudre, C. Baldassi, A. Pagnani, M. Weigt (2020) Predicting interacting protein pairs by coevolutionary paralog matching, In: Protein-Protein Interaction Networks, pp. 57-65

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