notesum.ai
Published at November 13MVKTrans: Multi-View Knowledge Transfer for Robust Multiomics Classification
cs.LG
cs.AI
Released Date: November 13, 2024
Authors: Shan Cong1, Zhiling Sang2, Hongwei Liu3, Haoran Luo1, Xin Wang4, Hong Liang3, Jie Hao5, Xiaohui Yao1
Aff.: 1Harbin Engineering University, Harbin, China; Qingdao Innovation and Development Center, Harbin Engineering University, Qingdao, China; 2Qingdao Innovation and Development Center, Harbin Engineering University, Qingdao, China; 3Harbin Engineering University, Harbin, China; 4Department of Surgery, Chinese University of Hong Kong, Hong Kong, China; 5Institute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| Method | Fusion | ROSMAP | LGG | ||||
| ACC (%) | F1 (%) | AUC (%) | ACC (%) | F1 (%) | AUC (%) | ||
| SVM | early | 77.0±2.4 | 77.8±1.6 | 77.0±2.6 | 75.4±4.6 | 75.7±5.0 | 75.4±4.6 |
| XGBoost | 76.0±4.6 | 77.2±4.5 | 83.7±3.0 | 75.6±4.0 | 76.7±3.2 | 84.0±2.3 | |
| NN | 75.5±2.1 | 76.4±2.1 | 82.7±2.5 | 73.7±2.3 | 74.8±2.4 | 81.0±3.7 | |
| GRridge | intermediate | 76.0±3.4 | 76.9±2.9 | 84.1±2.3 | 74.6±3.8 | 75.6±3.6 | 82.6±4.4 |
| BSPLSDA | 75.3±3.3 | 76.4±3.5 | 83.8±2.1 | 68.5±2.7 | 66.2±3.0 | 73.0±2.6 | |
| CF | 78.4±1.1 | 78.8±0.5 | 88.0±0.5 | 81.1±1.2 | 82.2±0.4 | 88.1±0.4 | |
| GMU | 77.6±2.5 | 78.4±1.6 | 86.9±1.6 | 80.3±1.5 | 80.8±1.2 | 88.6±1.2 | |
| Mogonet | correlation | 81.5±2.3 | 82.1±2.2 | 87.4±1.2 | 81.6±1.6 | 81.4±1.4 | 84.0±2.7 |
| MODLIM | correlation | 84.3±1.2 | 85.0±0.8 | 89.1±1.2 | 82.8±0.7 | 82.5±2.3 | 86.1±1.5 |
| Dynamics | trustworthy | 84.2±1.3 | 84.6±0.7 | 91.2±0.7 | 83.3±1.0 | 83.7±0.4 | 88.5±0.4 |
| MVKTrans (ours) | distillation | 86.4±0.5∗ | 86.4±0.4∗ | 92.5±0.9∗ | 84.7±0.3∗ | 84.7±0.7∗ | 91.4±1.1∗ |
| Method | Fusion | BRCA | KIPAN | ||||
| ACC (%) | F1-w (%) | F1-m (%) | ACC (%) | F1-w (%) | F1-m (%) | ||
| SVM | early | 72.9±1.8 | 70.2±1.5 | 64.0±1.7 | 99.5±0.3 | 99.5±0.3 | 99.4±0.4 |
| XGBoost | 78.1±0.8 | 76.4±1.0 | 70.1±1.7 | 99.3±0.8 | 99.3±0.8 | 98.9±1.4 | |
| NN | 75.4±2.8 | 74.0±3.4 | 66.8±4.7 | 99.1±0.5 | 99.1±0.5 | 99.1±0.5 | |
| GRridge | intermediate | 74.5±1.6 | 72.6±1.9 | 65.6±2.5 | 99.4±0.4 | 99.4±0.4 | 99.3±0.4 |
| BSPLSDA | 63.9±0.8 | 52.2±1.6 | 35.1±2.2 | 91.9±1.2 | 91.8±1.3 | 89.5±1.4 | |
| CF | 81.5±0.8 | 81.5±0.9 | 77.1±0.9 | 99.2±0.5 | 99.2±0.5 | 99.2±0.5 | |
| GMU | 80.0±3.9 | 79.8±5.8 | 74.6±5.8 | 99.2±0.5 | 99.2±0.5 | 98.8±0.9 | |
| Mogonet | correlation | 82.9±1.8 | 82.5±1.6 | 77.4±1.7 | 99.9±0.2 | 99.9±0.2 | 99.9±0.2 |
| MODLIM | correlation | 84.5±0.9 | 84.0±1.6 | 80.4±1.2 | 99.2±0.8 | 99.2±0.8 | 99.2±0.8 |
| Dynamics | trustworthy | 87.7±0.3 | 88.0±0.5 | 84.5±0.5 | 99.9±0.2 | 99.9±0.2 | 99.9±0.2 |
| MVKTrans (ours) | distillation | 88.6±0.2∗ | 88.9±0.1∗ | 86.3±0.2∗ | 99.9±0.2 | 99.9±0.2 | 99.9±0.2 |