Authors | Agustin Maria Pardo |
Github | AgustinPardo |
agustinmpardo@gmail.com |
essen_test(model_tb, dic_return, dataset_name, dataset_excel, growth_thresh_mult)
FN, FP, TN, TP = essen_test(model_iEK_griffin, "Yes both", "griffin", griffin_excel, grow_thresh)
model_tb : COBRA model
dic_return : "Yes" or "Yes both" options select which dictionaries return.
dataset_name : Type of dataset. "griffin" or "loerger"
dataset_excel : dataset file
growth_thresh_mult : FBA growth threshold
model_griffin : iEK1011_griffinEssen_media.json
griffin_file : ppat.1002251.s002.xlsx
#griffin essenciality threshold grif_thres = 0.1
model_loerger : iEK1011_deJesusEssen_media.json
loerger_file : mbo002173137st3.xlsx
#loerger essenciality threshold
ES being near 0
NE being near the mean
GD approximately 1/10 the mean
GA 5 times the mean
Count of FN, FP, TN, TP
Experimental data Griffin | ||||
Model predictions iEK1011_griffinEssen_media.json | True (Growth) | False (No Growth) | ||
Positive (Growth) | 579 | 161 | ||
Negative (No Growth) | 29 | 229 | ||
Total | 998 |
Accuracy (Exactitud):
Matthew Correlation Coefficient (MCC):
Dictionaries of FN, FP, TN, TP