Count the predictions of the non-synergistic drug combinations per model (FP)

Since the given unobserved.model.predictions data.frame has only the negative results, this function returns the total number of 1's in each row.

calculate_models_synergies_fp(unobserved.model.predictions)

Arguments

unobserved.model.predictions	data.frame object with rows the models and columns the drug combinations that were found/observed as non-synergistic (negative results). Possible values for each model-drug combination element are either 0 (no synergy predicted), 1 (synergy was predicted) or NA (couldn't find stable states in either the drug combination inhibited model or in any of the two single-drug inhibited models)

Value

an integer vector with elements the number of false positive predictions per model. The model names are given in the names attribute (same order as in the rownames attribute of the unobserved.model.predictions data.frame).

See also

Other confusion matrix calculation functions: calculate_mcc(), calculate_models_mcc(), calculate_models_synergies_fn(), calculate_models_synergies_tn(), calculate_models_synergies_tp()