| ADMM | alternating direction method of multipliers |
| AML | acute myeloid leukemia |
| ARMI | assisted robust marker identification |
| AUC | area under the curve |
| BRCA | breast cancer dataset |
| BXD | murine liver dataset |
| CCA | canonical correlation analysis |
| CD | coordinate descent |
| CIA | co-inertia analysis |
| CNV | copy number variation |
| COAD | colon adenocarcinoma |
| EM | expectation–maximization |
| GBM | glioblastoma |
| GE | gene expression |
| GWAS | whole genome association study |
| JIVE | the joint and individual variation explained |
| KIRC | kidney renal clear cell carcinoma |
| LAD | least absolute deviation |
| LASSO | least absolute shrinkage and selection operator |
| LDA | linear discriminant analysis |
| LIHC | liver hepatocellular carcinoma |
| LPP | locality preserving projections |
| LRMs | linear regulatory modules |
| LUSC | lung squamous cell carcinoma |
| MALA | microarray logic analyzer |
| MCCA | multiple canonical correlation analysis |
| MCIA | multiple co-inertia analysis |
| MCMC | Markov chain Monte Carlo |
| MCP | minimax concave penalty |
| MDI | multiple dataset integration |
| MFA | multiple factor analysis |
| NMF | non-negative matrix factorization |
| OV | ovarian cancer |
| PCA | principle component analysis |
| PINS | perturbation clustering for data integration and disease subtyping |
| PLS | partial least squares |
| rMKL | robust multiple kernel learning |
| SARC | Sarcoma Alliance for Research through Collaboration |
| SCAD | smoothly clipped absolute deviation |
| SKCM | skin cutaneous melanoma |
| SNF | similarity network fusion |
| SNP | single nucleotide polymorphism |
| TCGA | The Cancer Genome Atlas |