Random matrix analysis for gene interaction networks in cancer cells

HIGHLIGHTS

• who: Ayumi Kikkawa from the (UNIVERSITY) have published the paper: Random Matrix Analysis for Gene Interaction Networks in Cancer Cells, in the Journal: (JOURNAL) of 22/09/2017
• what: The authors investigate the distributions of NNL spacing P(s) of the gene interaction matrices. The authors evaluate P(s) for each of the 256 sets of eigenvalues by averaging over segments of equal number of eigenvalues. The authors evaluate p-values of the hypothesis test with MATLAB built-in function "kstest". In Fig 2, the authors show distributions P(s) for eight gene interaction networks . . .
  

   

  

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