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Paper   IPM / Biological Sciences / 13751
School of Biological Sciences
  Title:   Protein Complex Discovery by Interaction Filtering from Protein Interaction Networks Using Mutual Rank Coexpression and Sequence Similarity
  Author(s): 
1.  A. Kazemi-Pour.
2.  B. Goliaei.
3.  H. Pezeshk.
  Status:   Published
  Journal: BioMed Research International
  Vol.:  2015
  Year:  2015
  Pages:   7
  Publisher(s):   Hindawi Publishing Corporation
  Supported by:  IPM
  Abstract:
The evaluation of the biological networks is considered the essential key to understanding the complex biological systems. Meanwhile, the graph clustering algorithms are mostly used in the protein-protein interaction (PPI) network analysis. The complexes introduced by the clustering algorithms include noise proteins. The error rate of the noise proteins in the PPI network researches is about 40–90

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