Cubco+: prediction of protein complexes based on min-cut network partitioning into biclique spanned subgraphs

HIGHLIGHTS

• who: Sara Omranian from the Technical University Germany have published the paper: CUBCO+: prediction of protein complexes based on min-cut network partitioning into biclique spanned subgraphs, in the Journal: (JOURNAL)
• what: Here the authors propose an algorithm called CUBCO+ that: employs GO semantic similarity to retain only biologically relevant interactions with a high similarity score based on link prediction approaches scores the false-negative edges and_(3) incorporates the resulting scores to predict protein complexes. Through comprehensive analyses with PPIs from Escherichia coli Saccharomyces cerevisiae and Homo sapiens the authors show that CUBCO+ performs . . .
  

   

  

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