emba: Ensemble Boolean Model Biomarker Analysis

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.

Getting started

Package details

AuthorJohn Zobolas [aut, cph, cre] (<https://orcid.org/0000-0002-3609-8674>)
MaintainerJohn Zobolas <[email protected]>
LicenseMIT + file LICENSE
Version0.1.1
URL https://github.com/bblodfon/emba
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("emba")

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emba documentation built on Oct. 30, 2019, 10:43 a.m.