TABLE 4.
Comparison of different multi-omics integration algorithms with respect to methods and applications.
| Algorithms | Methods | Applications |
||
| Cancer subtyping | Cancer biomarker prediction | Cancer mechanisms | ||
| SNF | Network-based | + | – | – |
| iOmicsPASS | Network-based | + | + | + |
| iClusterPlus | Bayesian | + | + | + |
| PFA | Fusion-based | + | – | – |
| NEMO | Similarity-based | + | – | – |
| CCA | Correlation-based | – | – | + |
| moCluster | Multivariate analysis | + | - | – |
SNF, Similarity network fusion; PFA, Pattern fusion analysis; NEMO, NEighborhood based multi-omics clustering; CCA, canonical correlation analysis; + indicates the appropriateness of the algorithm; – indicates the inappropriateness of the algorithm.