As part of our revised manuscript (greenelab/mpmp-manuscript#46), we wanted to provide the coefficients (elastic net effect sizes) and hyperparameters (elastic net regularization strength + L1/L2 ratio) for the fit models using gene expression, for each gene in our cancer gene set; this PR fits the models on all the data and saves the coefficients/params.
Main additions in this PR:
Bash script to fit models for all genes: 07_train_final_classifiers/scripts/run_all_genes.sh
Notebook to assemble model info into .tsv files: 07_train_final_classifiers/collect_full_models.ipynb
As part of our revised manuscript (greenelab/mpmp-manuscript#46), we wanted to provide the coefficients (elastic net effect sizes) and hyperparameters (elastic net regularization strength + L1/L2 ratio) for the fit models using gene expression, for each gene in our cancer gene set; this PR fits the models on all the data and saves the coefficients/params.
Main additions in this PR:
07_train_final_classifiers/scripts/run_all_genes.sh
.tsv
files:07_train_final_classifiers/collect_full_models.ipynb
data/final_models