• DocumentCode
    3417851
  • Title

    An improved AP algorithm for identifying overlapping functional modules in protein-protein interaction networks

  • Author

    Wang, Yu ; Gao, Lin

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Xidian Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    24-28 Oct. 2010
  • Firstpage
    1809
  • Lastpage
    1812
  • Abstract
    Identifying modules in protein-protein interaction (PPI) networks is important to understand the organization of the cellular processes. In this paper, an improved algorithm based on affinity propagation (AP) is proposed. We embed AP in our algorithm by utilizing AP to find the candidate overlapping vertices and keep those satisfying our filter condition. We apply our algorithm to S. cerevisiae PPI networks. The experimental results show that compared with AP, MCL, MCODE and CPM, our algorithm can discover more functional modules with high matching rate. Our proposed method is validated as an effective algorithm in identifying overlapping functional modules and can provide more insights for future biological study.
  • Keywords
    biology computing; cellular biophysics; proteins; CPM; MCL; MCODE; S. cerevisiae PPI networks; affinity propagation; biological study; candidate overlapping vertices; cellular processes; filter condition; improved AP algorithm; overlapping functional modules; protein-protein interaction networks; Algorithm design and analysis; Availability; Clustering algorithms; Communities; Partitioning algorithms; Prediction algorithms; Proteins; affinity propagation; overlapping functional modules; protein-protein interaction networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2010 IEEE 10th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5897-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2010.5656663
  • Filename
    5656663