This function uses the get_avg_activity_diff_based_on_specific_synergy_prediction
function on a vector of drug combinations that were observed as synergistic
(e.g. by experiments) but also found as such by at least one of the models
(these drug combinations are the predicted synergies).
get_avg_activity_diff_mat_based_on_specific_synergy_prediction(model.predictions,
models.stable.state, predicted.synergies)a data.frame object with rows the models and
columns the drug combinations. 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)
a matrix (nxm) with n models and m nodes. The row names of the matrix specify the models' names whereas the column names specify the name of the network nodes (gene, proteins, etc.). Possible values for each model-node element are either 0 (inactive node) or 1 (active node).
a character vector of the synergies (drug
combination names) that were predicted by at least one of the models
in the dataset. It must be a subset of the column names (the drug combinations)
of the model.predictions object.
a matrix whose rows are vectors of average node activity state differences between two groups of models where the classification for each individual row was based on the prediction or not of a specific synergistic drug combination. The row names are the predicted synergies, one per row, while the columns represent the network's node names. Values are in the [-1,1] interval.
Other average data difference functions: get_avg_activity_diff_based_on_mcc_clustering,
get_avg_activity_diff_based_on_specific_synergy_prediction,
get_avg_activity_diff_based_on_synergy_set_cmp,
get_avg_activity_diff_based_on_tp_predictions,
get_avg_activity_diff_mat_based_on_mcc_clustering,
get_avg_activity_diff_mat_based_on_tp_predictions,
get_avg_link_operator_diff_mat_based_on_mcc_clustering,
get_avg_link_operator_diff_mat_based_on_specific_synergy_prediction,
get_avg_link_operator_diff_mat_based_on_tp_predictions