Reference | Data | Method |
---|---|---|
Moutselos et al. [65] | Skin images | Combining features into a confusion matrix |
 | Gene expression |  |
Golugula et al. [6] | Histopathology | Correlating features via CCA, combining CCA-based confusion matrices |
 | Proteomics |  |
Dai et al. [20] | sMRI | Construct classifiers from features, weighted combination of classifier decisions |
 | fMRI |  |
Gode et al. [66] | mRNA | Compute LDR/classifier decisions, unweighted combination of LDR- or classifier-based confusion matrices |
 | miRNA |  |
Raza et al. [22] | Gene-expression | Compute classifier decisions, unweighted combination of classifier decisions |
 | FNAC |  |
Sui et al. [67] | DTI | Correlate features via CCA, unweighted combination of CCA-based confusion matrices |
 | fMRI |  |
Wolz et al. [7] | T1-w MRI | Compute LDR, weighted combination of LDR-based confusion matrices |
 | ApoE genotype, A β 1−42 |  |
Wang et al. [62] | T1-w MRI, FDG-PET | Feature selection, weighted concatenation of selected features |
 | Gene-expression |  |
Lanckriet et al. [9] | Protein expression | Compute kernel representations, weighted combination of kernels |
 | Gene-expression |  |
Yu et al. [68] | Text ontologies | Compute kernel representations, fuse kernel-based confusion matrices |
 | Gene-expression |  |
Higgs et al. [54] | CT | Compute LDR, fuse LDR maintaining manifold structure |
 | Gene-expression |  |
Lee et al. [4] | Gene-expression | Compute LDR, unweighted concatenation of LDR |
 | Histopathology |  |
Viswanath et al. [5] | T2-w | Compute LDR, combine LDR-based confusion matrices using label information |
 | ADC, DCE |  |
Tiwari et al [8] | T2-w MRI | Compute kernel representations, weighted LDR-based combination of kernels using label information |
 | MRS |  |