get_synergy_subset_stats

a <code>data.frame</code> 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).

model.predictions

a character vector with elements the synergistic drug
combinations. Note that these synergies should be a subset of the column
names of the <code>model.predictions</code> data.frame.

synergies

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.

Analysis and visualization of an ensemble of boolean models for
biomarker discovery in cancer cell networks. The package allows to easily
import the data results of a software pipeline that predicts synergistic drug
combinations in cancer cell lines, developed by the DrugLogics research group
in NTNU. It has generic functions that can be used to split a boolean model
dataset to model groups with regards to the models predictive performance (number of true
positive predictions or Matthews correlation coefficient score) or synergy prediction based on a given set
of observed synergies and find the average activity difference per network
node between all group pairs. Thus, given user-specific thresholds,
important nodes (biomarkers) can be accessed in the sense that they make the
models predict specific synergies (synergy biomarkers) or have better
performance in general (performance biomarkers). Lastly, if the
boolean models have a specific equation form and differ only in their link operator,
link operator biomarkers can also be assessed.

get_synergy_subset_stats: Find the number of predictive models for every synergy subset

Description

Usage

Arguments

Value

Details