print_model_and_drug_stats

integer. Number of drug combinations tested

drug.combs

models

nodes

logical. If TRUE, the printed output will look nice in an
HTML document

html.output

Use this function to pretty print in an R notebook useful statistics for the
ensemble model analysis: how many drug combinations were tested by each model,
the number of models used and how many nodes each boolean network model had.

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.

print_model_and_drug_stats: Print model and drug statistics

Description

Usage

Arguments