Table 6.
Experiment | Task | Kallisto | Kallisto (bias) | Salmon | Salmon (bias) | eXpress | eXpress (bias) | RSEM | RSEM (bias) | BaseEM | IntMTQ |
---|---|---|---|---|---|---|---|---|---|---|---|
SVM | |||||||||||
E1 | OV | 0.626(0.101) | 0.606(0.099) | 0.631(0.101) | 0.662(0.100) | 0.624(0.091) | 0.605(0.096) | 0.631(0.097) | 0.648(0.098) | 0.628(0.100) | 0.691(0.090) |
OV+BRCA | 0.607(0.086) | 0.598(0.085) | 0.572(0.085) | 0.573(0.087) | 0.634(0.082) | 0.604(0.083) | 0.595(0.087) | 0.596(0.084) | 0.551(0.083) | 0.562(0.082) | |
E2 | OV | 0.643(0.153) | 0.637(0.151) | 0.611(0.152) | 0.648(0.150) | 0.621(0.146) | 0.612(0.149) | 0.595(0.149) | 0.613(0.145) | 0.594(0.143) | 0.660(0.145) |
OV+BRCA | 0.852(0.072) | 0.851(0.070) | 0.856(0.071) | 0.893(0.062) | 0.852(0.073) | 0.863(0.072) | 0.862(0.068) | 0.869(0.068) | 0.855(0.072) | 0.881(0.055) | |
E3 | OV | 0.533(0.135) | 0.543(0.134) | 0.540(0.126) | 0.596(0.139) | 0.534(0.130) | 0.558(0.137) | 0.524(0.128) | 0.546(0.133) | 0.532(0.140) | 0.608(0.140) |
Random Forest | |||||||||||
OV+BRCA | 0.643(0.120) | 0.721(0.113) | 0.644(0.123) | 0.695(0.110) | 0.655(0.116) | 0.672(0.118) | 0.671(0.122) | 0.672(0.112) | 0.767(0.103) | 0.779(0.095) | |
E1 | OV | 0.701(0.092) | 0.706(0.089) | 0.717(0.090) | 0.724(0.087) | 0.734(0.091) | 0.744(0.089) | 0.712(0.091) | 0.707(0.094) | 0.719(0.092) | 0.763(0.080) |
OV+BRCA | 0.628(0.088) | 0.648(0.090) | 0.632(0.091) | 0.664(0.090) | 0.660(0.090) | 0.663(0.092) | 0.622(0.090) | 0.636(0.091) | 0.650(0.087) | 0.660(0.086) | |
E2 | OV | 0.686(0.134) | 0.685(0.135) | 0.624(0.143) | 0.627(0.144) | 0.616(0.146) | 0.633(0.140) | 0.690(0.135) | 0.693(0.132) | 0.698(0.131) | 0.717(0.130) |
OV+BRCA | 0.804(0.090) | 0.798(0.090) | 0.721(0.111) | 0.742(0.106) | 0.728(0.109) | 0.729(0.105) | 0.803(0.094) | 0.807(0.095) | 0.799(0.088) | 0.851(0.079) | |
E3 | OV | 0.540(0.152) | 0.542(0.149) | 0.591(0.147) | 0.632(0.145) | 0.582(0.152) | 0.592(0.147) | 0.569(0.150) | 0.569(0.153) | 0.576(0.148) | 0.628(0.144) |
OV+BRCA | 0.639(0.117) | 0.638(0.111) | 0.664(0.112) | 0.671(0.112) | 0.686(0.115) | 0.689(0.111) | 0.641(0.115) | 0.648(0.114) | 0.680(0.114) | 0.694(0.111) |
Note: The mean AUC scores (standard deviation in parentheses) of classifying cell lines by estimated transcript expression in 1000 repeats for each experiment are reported. The best AUCs across the ten methods are bold.