Table 2 Power to detect SCAs by SAIC and GISTIC in simulation studies
From: Genome-wide identification of significant aberrations in cancer genome
N = 60,ω = 0.2,μ λ  = 0.6,σ λ = | 0.15 | 0.2 | 0.25 | 0.3 | 0.35 |
|---|---|---|---|---|---|
GISTIC | 89% | 86% | 79% | 74% | 72% |
SAIC | 96% | 94% | 86% | 86% | 82% |
N = 60, ω = 0.2, σ λ  = 0.25, μ λ = | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 |
GISTIC | 83% | 81% | 82% | 72% | 79% |
SAIC | 93% | 91% | 87% | 79% | 74% |
ω = 0.2, σ λ  = 0.25, μ λ  = 0.6, N= | 40 | 50 | 60 | 70 | 80 |
GISTIC | 58% | 73% | 79% | 86% | 89% |
SAIC | 65% | 83% | 87% | 93% | 94% |
N = 60, σ λ  = 0.25, μ λ  = 0.6, ω = |  | 0.1 | 0.15 | 0.2 | 0.25 |
GISTIC | Â | 30% | 58% | 80% | 92% |
SAIC | Â | 37% | 72% | 87% | 97% |