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Published online 2024 Mar 5. doi: 10.1186/s13040-024-00360-6

Table 2

Comparison with state-of-the-art methods on ROSMAP and BRCA datasets

MethodROSMAP (2 Categories)BRCA (5 Categories)
ACC(%)F1(%)AUC(%)ACC(%)F1_w(%)F1_m(%)
(95% CI)(95% CI)(95% CI)(95% CI)(95% CI)(95% CI)
KNN65.7 (61.2-70.2)67.1 (61.6-72.6)70.9 (65.3-76.5)74.2 (71.2-77.2)73.0 (70.1-75.9)68.2 (65.1-71.3)
SVM77.0 (74.0-80.0)77.8 (75.8-79.8)77.0 (73.8-80.2)72.9 (70.7-75.1)70.2 (68.3-72.1)64.0 (61.9-66.1)
Lasso69.4 (64.8-74.0)73.0 (68.9-77.1)77.0 (72.7-81.3)73.2 (71.7-74.7)69.8 (67.9-71.7)64.2 (61.0-67.4)
RF72.6 (69.0-76.2)73.4 (70.8-76.0)81.1 (78.7-83.5)75.4 (74.3-76.5)73.3 (72.1-74.5)64.9 (63.3-66.5)
XGBoost76.0 (70.3-81.7)77.2 (71.6-82.8)83.7 (80.0-87.4)78.1 (77.1-79.1)76.4 (75.2-77.6)70.1 (68.0-72.2)
NN75.5 (72.9-78.1)76.4 (73.8-79.0)82.7 (79.6-85.8)75.4 (71.9-78.9)74.0 (69.8-78.2)66.8 (61.0-72.6)
GRridge76.0 (71.8-80.2)76.9 (73.3-80.5)84.1 (81.2-87.0)74.5 (72.5-76.5)72.6 (70.2-75.0)65.6 (62.5-68.7)
BPLSDA74.2 (71.2-77.2)75.5 (72.6-78.4)83.0 (79.9-86.1)64.2 (63.1-65.3)53.4 (51.7-55.1)36.9 (34.8-39.0)
BSPLSDA75.3 (71.2-79.4)76.4 (72.1-80.7)83.8 (81.2-86.4)63.9 (62.9-64.9)52.2 (50.2-54.2)35.1 (32.4-37.8)
CF78.4 (77.0-79.8)78.8 (78.2-79.4)88.0 (87.4-88.6)81.5 (80.5-82.5)81.5 (80.4-82.6)77.1 (76.0-78.2)
GMU77.6 (74.5-80.7)78.4 (76.4-80.4)86.9 (84.9-88.9)80.0 (75.2-84.8)79.8 (72.3-86.7)74.6 (67.4-81.8)
Mogonet81.5 (78.6-84.4)82.1 (79.4-84.8)87.4 (85.9-88.9)82.9 (80.7-85.1)82.5 (80.5-84.5)77.4 (75.3-79.5)
Dynamics84.2 (83.6-84.8)84.6 (84.3-84.9)91.2 (90.9-91.5)87.7 (87.6-87.8)88.0 (87.8-88.2)84.5 (84.3-84.7)
MOCAT(Ours)87.6 (86.7-88.5) 87.5 (86.8-88.2) 92.3 (91.2-93.4) 88.5 (88.1-88.9) 88.9 (88.5-89.3) 86.2 (85.3-87.1)

Means and 95% confidence intervals (95% CIs) are presented, and the best results are in bold. The 95% CI is calculated using the t-distribution, with degrees of freedom set at n-1, where n is the number of experiments conducted.

Compared to the suboptimal model, the superior model is denoted by to indicate a statistically significant improvement (P<0.05) when using the two-sample t-test

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