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empirical p-values for glmnet multivariate results
prerequesites
- [x] map all scores to specific set of pathways
- [x] use same pathway set input for glmnet
kinds of models
- [x] pathways
- [x] mutations and pathways as one input (to compare mut to pathways)
- [x] mutations + pathways (as in, formula syntax - to compare which pathways add most on top)
generation of null models
- [x] null models: 100 repetitions, shuffled labels
- [x] null models: 1000 repetitions, shuffled labels
- [x] real model: one repetition
calc
- [x] empirical p-values for models
- [ ] bar plots for best models (as defined with p-val)