Description Usage Arguments Value Details

Use this function to find for each possible subset of drug combinations out of a given list of synergies, the number of models that predicted it given the models' predictions. So, if for example the set of synergies is this one: {'A-B','C-D','E-F'}, we want to know how many models predicted none of them, just the single subsets (e.g. the {'A-B'}), the two-element subsets (e.g. the {'A-B','C-D'}) and all 3 of them.

1 | ```
get_synergy_subset_stats(model.predictions, synergies)
``` |

`model.predictions` |
a |

`synergies` |
a character vector with elements the synergistic drug
combinations. Note that these synergies should be a subset of the column
names of the |

an integer vector with elements the number of models the predicted
each synergy subset. The *names* attribute has the names of each
synergistic drug combination subset, which are the drug combinations comma
separated (e.g. 'A-B,C-D').

Note that if the `synergies`

vector has more than 10-15 elements, then
this function might take long time to execute even with an optimal
implementation of `count_models_that_predict_synergies`

.

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