Analyses from paperΒΆ
Analysis code from our [gemmr] publication is collected here. At the same time, these analyses demonstrate use cases of gemmr and show properties of CCA and PLS:
- Samples per feature dependence
- Samples per feature is a key parameter
- Cross-validated estimation
- Bootstrap
- Compatible true vs observed associations
- Weight errors
- PC bias
- Empirical data: run analyses
- Empirical data: evaluate analyses
- Powerlaw exponents
- Cross-loadings
- Required sample sizes
- Sample size calculator
- Sample size dependence on within-set variance spectrum for PLS
- Sparse CCA