Table 3

Module classifier performance Download Figure 4-1, TIF file.

ComparisonModules (number)Cv error (%)Cv error StdMc error (%)Mc EP
Wild type
Day/Night 10 1.61 1.29 50.0 2.25
Day 5/Day 6 8 21.0 6.53 50.0 3.18
Night 5/Night 6 1 35.5 9.71 50.0 3.18
hcrtr
Day and night
WT/Het 1 27.7 0.77 27.7 1.88
WT/Hom 10 45.8 10.9 50.0 2.83
Het/Hom 8 27.5 1.12 27.7 1.88
Day
WT/Het 1 27.7 1.46 27.7 2.66
WT/Hom 1 40.4 12.5 50.0 4.00
Het/Hom 3 27.3 2.35 27.7 2.66
Night
WT/Het 1 27.7 1.46 27.7 2.66
WT/Hom 1 47.4 10.9 50.0 4.00
Het/Hom 10 27.0 1.72 27.7 2.66
Melatonin (day)
Control 3 8.33 8.69 25.0 4.42
0.01μM 10 2.78 6.02 16.7 4.39
0.1μM 2 16.7 4.52 16.7 4.39
1μM 1 18.1 7.74 16.7 4.39
3μM 1 16.8 8.67 16.7 4.39
10μM 1 16.8 4.52 16.7 4.39
30μM 1 16.8 4.52 16.7 4.39
PTZ (day)
Control 1 1.92 5.27 46.2 6.91
2.5 mM 1 17.9 17.6 35.7 9.06
5 mM 1 28.6 22.3 32.1 8.83
7.5 mM 10 20.0 26.1 32.1 8.83
  • A table showing the performance of each module classifier. Each classifier sought to separate the data shown in the comparison column, e.g., wild type, day/night. For each comparison, all 10 modules were sequentially chosen by the mRMR algorithm, then a smaller subset was retained (see module column) based on classification error curves. Cv, 10-fold cross validated; Std, SD across the 10 folds; Mc, majority class classifier; EP, SE of proportion.