S-score: A scoring system for the identification and prioritization of predicted cancer genes

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Glioblastoma data
Ovary data
Breast data
Colorectal data
Supplementary Table S4
Supplementary Table S5
Supplementary Figure 1
Supplementary Figure 2
Supplementary Figure 3

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Change Formula constants:
Sonc = 100(Namp()/c) + 100(Neo()/e)
Ssup = Nns() + 100(Nmet()/m) + 100(Ndel()/c) + 100(Neu()/e)
 
Nns  = number of nonsense mutations for the respective gene.
Nmet = number of samples in which the respective gene is methylated.
m    = total number of samples informative for methylation analysis.
Ndel = number of samples in which the respective gene is deleted
c    = total number of samples informative for CNV analysis.
Namp = number of samples in which the respective gene is amplified.
Neo  = number of samples in which the respective gene is over-expressed.
e    = total number of samples informative for gene expression analysis. 
Neu  = number of samples in which the respective gene is under-expressed.

α = index for amplification (=0.5).
β = index for over-expression (=0.5).
δ = index for nonsense mutations (=5).
ε = index for methylation (=0).
ϕ = index for deletions (=0.5).
γ = index for under-expression (=0.5).