Open teresa-m opened 2 years ago
TODO
calls:
python get_features.py -i /vol/scratch/data/pos_neg_data_context/full_noRBPs/paris_HEK293T_context_150_pos_occ_pos.csv -f all -o /vol/scratch/data/features_files/all_feature_files/paris_human_RRI_pos.csv
python get_features.py -i /vol/scratch/data/pos_neg_data_context/full_noRBPs/paris_HEK293T_context_150_pos_occ_neg.csv -f all -o /vol/scratch/data/features_files/all_feature_files/paris_human_RRI_neg.csv
python get_features.py -i /vol/scratch/data/pos_neg_data_context/full_c150_shortRBPs/paris_HEK_context_150_pos_occ_pos.csv -f all -o /vol/scratch/data/features_files/all_feature_files/paris_human_RBPs_pos.csv
python get_features.py -i /vol/scratch/data/pos_neg_data_context/full_c150_shortRBPs/paris_HEK_context_150_pos_occ_neg.csv -f all -o /vol/scratch/data/features_files/all_feature_files/paris_human_RBPs_neg.csv
python get_features.py -i /vol/scratch/data/pos_neg_data_context/mouse_full_c150/paris_mouse_context_150_pos_occ_pos.csv -f all -o /vol/scratch/data/features_files/all_feature_files/paris_mouse_RRI_pos.csv
python get_features.py -i /vol/scratch/data/pos_neg_data_context/mouse_full_c150/paris_mouse_context_150_pos_occ_neg.csv -f all -o /vol/scratch/data/features_files/all_feature_files/paris_mouse_RRI_neg.csv
python get_features.py -i /vol/scratch/data/pos_neg_data_context/full_SPLASH_hES/SPLASH_hES_context_150_pos_occ_pos.csv -f all -o /vol/scratch/data/features_files/all_feature_files/splash_human_RRI_pos.csv
python get_features.py -i /vol/scratch/data/pos_neg_data_context/full_SPLASH_hES/SPLASH_hES_context_150_pos_occ_neg.csv -f all -o /vol/scratch/data/features_files/all_feature_files/splash_human_RRI_neg.csv
awk 'FNR==1 && NR!=1{next;}{print}' /vol/scratch/data/features_files/all_feature_files/paris_human_RRI_pos.csv /vol/scratch/data/features_files/all_feature_files/splash_human_RRI_pos.csv > /vol/scratch/data/features_files/all_feature_files/paris_splash_human_RRI_pos.csv
awk 'FNR==1 && NR!=1{next;}{print}' /vol/scratch/data/features_files/all_feature_files/paris_human_RRI_neg.csv /vol/scratch/data/features_files/all_feature_files/splash_human_RRI_neg.csv > /vol/scratch/data/features_files/all_feature_files/paris_splash_human_RRI_neg.csv
awk 'FNR==1 && NR!=1{next;}{print}' /vol/scratch/data/features_files/all_feature_files/paris_splash_human_RRI_pos.csv /vol/scratch/data/features_files/all_feature_files/paris_human_RBPs_pos.csv > /vol/scratch/data/features_files/all_feature_files/full_human_pos.csv
awk 'FNR==1 && NR!=1{next;}{print}' /vol/scratch/data/features_files/all_feature_files/paris_splash_human_RRI_neg.csv /vol/scratch/data/features_files/all_feature_files/paris_human_RBPs_neg.csv > /vol/scratch/data/features_files/all_feature_files/full_human_neg.csv
awk 'FNR==1 && NR!=1{next;}{print}' /vol/scratch/data/features_files/all_feature_files/full_human_pos.csv /vol/scratch/data/features_files/all_feature_files/paris_mouse_RRI_pos.csv > /vol/scratch/data/features_files/all_feature_files/full_pos.csv
awk 'FNR==1 && NR!=1{next;}{print}' /vol/scratch/data/features_files/all_feature_files/full_human_neg.csv /vol/scratch/data/features_files/all_feature_files/paris_mouse_RRI_neg.csv > /vol/scratch/data/features_files/all_feature_files/full_neg.csv
We should have the definite feature cvs. trainings data stored somewhere for the following datasets:
For this data we should have the models with the following data combination: