Multiple Co-Inertia Analysis implemented in MATLAB via the Nonlinar Iterative Partial Least Squares Method (Hanafi et. al., 2011).
Contains 'NCI60_Example.m' script to replicate the popular 'Omicade4' R package (Meng et. al., 2014) on the NCI60 dataset.
Citations:
- Meng, C., Kuster, B., Culhane, A. C., & Gholami, A. M. (2014). A multivariate approach to the integration of multi-omics datasets. BMC bioinformatics, 15(1), 1-13.
- Hanafi, M., Kohler, A., & Qannari, E. M. (2011). Connections between multiple co-inertia analysis and consensus principal component analysis. Chemometrics and intelligent laboratory systems, 106(1), 37-40.
- Meng, C., Zeleznik, O. A., Thallinger, G. G., Kuster, B., Gholami, A. M., & Culhane, A. C. (2016). Dimension reduction techniques for the integrative analysis of multi-omics data. Briefings in bioinformatics, 17(4), 628-641.