Skip to main content

Table 3 Areas under the ROC curves for various simulation scenarios

From: Integrating diverse genomic data using gene sets

   Method
β γ E1 C1 INT AvgP MinP
Synthetic gene sets       
0.166 0.1 0.59 (0.1) 0.58 (0.09) 0.84 (0.07) 0.65 (0.09) 0.64 (0.09)
  0.5 0.83 (0.1) 0.79 (0.1) 0.98 (0.03) 0.91 (0.06) 0.89 (0.06)
  1 0.94 (0.07) 0.92 (0.07) 0.97 (0.03) 0.98 (0.03) 0.97 (0.03)
0.5 0.1 0.69 (0.09) 0.7 (0.09) 0.96 (0.03) 0.80 (0.07) 0.77 (0.07)
  0.5 0.94 (0.05) 0.94 (0.05) 1 (0.01) 0.99 (0.02) 0.98 (0.02)
  1 0.99 (0.02) 0.99 (0.01) 1 (0.01) 1 (0.01) 1 (0.01)
0.84 0.1 0.73 (0.08) 0.74 (0.08) 0.98 (0.02) 0.85 (0.06) 0.81 (0.07)
  0.5 0.97 (0.03) 0.97 (0.03) 1 (0) 1 (0.01) 0.99 (0.01)
  1 1 (0) 1 (0) 1 (0) 1 (0) 1 (0)
Chromosome bands       
0.166 0.1 0.65 (0.09) 0.55 (0.1) 0.78 (0.07) 0.63 (0.09) 0.64 (0.09)
  0.5 0.9 (0.08) 0.67 (0.09) 0.98 (0.02) 0.83 (0.06) 0.83 (0.06)
  1 0.98 (0.05) 0.72 (0.11) 0.95 (0.03) 0.93 (0.04) 0.93 (0.04)
0.5 0.1 0.72 (0.08) 0.60 (0.09) 0.90 (0.04) 0.70 (0.08) 0.70 (0.08)
  0.5 0.99 (0.02) 0.88 (0.04) 1 (0) 0.95 (0.02) 0.93 (0.02)
  1 1 (0.01) 0.94 (0.06) 1 (0) 0.99 (0.01) 0.99 (0.01)
0.84 0.1 0.76 (0.08) 0.62 (0.09) 0.93 (0.03) 0.74 (0.07) 0.74 (0.07)
  0.5 1 (0.01) 0.93 (0.03) 1 (0) 0.98 (0.01) 0.96 (0.02)
  1 1 (0) 0.99 (0.01) 1 (0) 1 (0) 0.99 (0)
Canonical pathways       
0.166 0.1 0.56 (0.08) 0.55 (0.08) 0.71 (0.07) 0.58 (0.08) 0.57 (0.07)
  0.5 0.70 (0.09) 0.70 (0.08) 0.87 (0.04) 0.78 (0.06) 0.76 (0.06)
  1 0.82 (0.08) 0.82 (0.07) 0.87 (0.05) 0.88 (0.04) 0.86 (0.05)
0.5 0.1 0.60 (0.08) 0.61 (0.08) 0.80 (0.06) 0.66 (0.07) 0.64 (0.07)
  0.5 0.81 (0.06) 0.82 (0.06) 0.92 (0.02) 0.89 (0.04) 0.87 (0.04)
  1 0.91 (0.04) 0.92 (0.03) 0.93 (0.04) 0.94 (0.02) 0.92 (0.02)
0.84 0.1 0.62 (0.08) 0.63 (0.08) 0.82 (0.05) 0.70 (0.07) 0.68 (0.06)
  0.5 0.84 (0.05) 0.85 (0.04) 0.93 (0.02) 0.91 (0.03) 0.90 (0.03)
  1 0.93 (0.02) 0.94 (0.02) 0.94 (0.02) 0.95 (0.02) 0.93 (0.02)
  1. Mean (and standard deviation) of the area under the ROC curve for selected values of the signal strength (β), and expected fraction of altered genes (γ). E1, single data type analysis using expression data; C1, single data type analysis using copy number data; INT, analysis of four data types using the integrative method; AvgP and MinP, analysis of four data types using meta-analytical approach.