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. 2018 Aug 28;35(6):1018–1025. doi: 10.1093/bioinformatics/bty726

Table 1.

Simulation results of sCIA and ssCIA

a in X
 b in Y
Sens Spec MCC Angle Sens Spec MCC Angle
Scen1 CIA – – – 0.940(0.013) – – – 0.928(0.015)
sCIA 0.956(0.091) 0.478(0.258) 0.358(0.214) 0.948(0.014) 0.784(0.173) 0.720(0.306) 0.481(0.225) 0.943(0.017)
ssCIA 1.000(0.000) 0.765(0.314) 0.628(0.244) 0.968(0.015) 0.884(0.062) 0.781(0.338) 0.579(0.236) 0.955(0.015)
Scen2 CIA – – – 0.943(0.011) – – – 0.927(0.015)
sCIA 0.808(0.039) 0.962(0.113) 0.731(0.120) 0.981(0.010) 0.752(0.134) 0.866(0.245) 0.617(0.245) 0.959(0.015)
ssCIA 1.000(0.000) 0.933(0.021) 0.647(0.064) 0.985(0.006) 0.920(0.027) 0.964(0.010) 0.678(0.049) 0.973(0.008)
Scen3 CIA – – – 0.944(0.011) – – – 0.933(0.013)
sCIA 0.956(0.090) 0.477(0.265) 0.362(0.224) 0.952(0.011) 0.825(0.173) 0.654(0.316) 0.444(0.237) 0.944(0.014)
ssCIA 0.924(0.017) 0.907(0.023) 0.694(0.042) 0.953(0.010) 0.778(0.035) 0.934(0.091) 0.642(0.072) 0.952(0.012)
Scen4 CIA – – – 0.954(0.008) – – – 0.932(0.012)
sCIA 0.881(0.048) 0.952(0.177) 0.731(0.211) 0.982(0.009) 0.769(0.140) 0.828(0.286) 0.604(0.275) 0.960(0.016)
ssCIA 0.882(0.051) 0.952(0.016) 0.643(0.057) 0.935(0.010) 0.858(0.023) 0.971(0.008) 0.679(0.048) 0.958(0.011)
Scen5 CIA – – – 0.945(0.011) – – – 0.932(0.013)
sCIA 0.934(0.082) 0.569(0.343) 0.456(0.309) 0.953(0.013) 0.817(0.166) 0.700(0.290) 0.458(0.230) 0.948(0.014)
ssCIA 0.989(0.014) 0.882(0.124) 0.693(0.097) 0.957(0.013) 0.786(0.047) 0.928(0.088) 0.608(0.068) 0.952(0.012)
Scen6-1 CIA – – – 0.937(0.016) – – – 0.921(0.019)
sCIA 0.804(0.028) 0.972(0.073) 0.731(0.091) 0.981(0.008) 0.760(0.137) 0.858(0.246) 0.604(0.247) 0.957(0.018)
ssCIA 1.000(0.000) 0.930(0.020) 0.639(0.060) 0.984(0.007) 0.919(0.024) 0.962(0.012) 0.670(0.053) 0.972(0.008)
Scen6-2 CIA – – – 0.833(0.036) – – – 0.800(0.046)
sCIA 0.766(0.074) 0.937(0.133) 0.596(0.117) 0.932(0.031) 0.564(0.089) 0.946(0.124) 0.454(0.089) 0.922(0.042)
ssCIA 0.957(0.135) 0.892(0.097) 0.553(0.109) 0.931(0.043) 0.752(0.131) 0.905(0.157) 0.456(0.010) 0.913(0.044)
Scen7-1 CIA – – – 0.949(0.010) – – – 0.929(0.012)
sCIA 0.822(0.063) 0.933(0.170) 0.736(0.192) 0.982(0.007) 0.740(0.120) 0.887(0.243) 0.655(0.234) 0.962(0.013)
ssCIA 0.895(0.052) 0.950(0.015) 0.643(0.059) 0.934(0.009) 0.860(0.027) 0.972(0.009) 0.681(0.050) 0.958(0.011)
Scen7-2 CIA – – – 0.825(0.052) – – – 0.797(0.048)
sCIA 0.725(0.079) 0.947(0.120) 0.617(0.123) 0.929(0.034) 0.547(0.078) 0.958(0.098) 0.470(0.087) 0.929(0.032)
ssCIA 0.680(0.137) 0.930(0.055) 0.491(0.098) 0.893(0.041) 0.613(0.142) 0.951(0.034) 0.461(0.070) 0.896(0.042)

Note: As a measure for the performance of proposed algorithms, sensitivity (Sens), specificity (Spec), Mattews correlation coefficient (MCC), and the angle between estimated loadings and true loadings are shown. Numbers inside the parenthesis are Monte Carlo standard deviation.