Integrating multi-OMICS data through sparse Canonical Correlation Analysis for the prediction of complex traits: A comparison study
This repository presents tho code of the methods, simulation studies and data analyses performe in the bioRxiv preprint "Integrating multi-OMICS data through sparse Canonical Correlation Analysis for the prediction of complex traits: A comparison study", by T. Rodosthenous, V. Shahrezaei and M. Evangelou.
- ConvCCA on LASSO and SCAD penalties, for two or more input datasets
- RelPMDCCA on LASSO and SCAD penalties, for two or more input datasets
- Function in obtaining additional canonical pairs
- Data generating models
- Performance assessment
- nutriMouse
- Data are found under the R package "whitening", by running data("nutrimouse")
- cancerTypes
- Data are found in the following link: http://compbio.cs.toronto.edu/SNF/SNF/Software.html