On the recordRead 5 Oct 202612 facts
emba
On the record
- Biomarker discovery
- It groups models by predictive performance or synergy prediction and compares average network node activity across model groups to identify biomarkers.bblodfon.github.io · read 5 Oct 2026
- Biomarker types
- The package supports synergy biomarkers, performance biomarkers, and link operator biomarkers for qualifying Boolean models.bblodfon.github.io · read 5 Oct 2026
- DrugLogics data
- The package loads simulation results from DrugLogics, a pipeline used to predict synergistic drug combinations in cancer cell lines.bblodfon.github.io · read 5 Oct 2026
- Input requirement
- Gold-standard drug combinations must be a subset of the combinations tested in the model predictions.bblodfon.github.io · read 5 Oct 2026
- Inputs
- The documented analysis uses model predictions, model stable states, observed gold-standard synergies, and optionally model link operators.bblodfon.github.io · read 5 Oct 2026
- Install
- The project page lists installation from CRAN and a development version installable from GitHub with remotes.bblodfon.github.io · read 5 Oct 2026
- Intended users
- The package is intended for analysis of Boolean model ensembles, including research into drug synergy and biomarkers in cancer cell networks.bblodfon.github.io · read 5 Oct 2026
- License
- The project page identifies the license as MIT.bblodfon.github.io · read 5 Oct 2026
- Performance metrics
- Models can be grouped by true positive prediction counts or Matthews correlation coefficient scores.bblodfon.github.io · read 5 Oct 2026
- Purpose
- emba is an R package for analyzing and visualizing biomarkers in ensembles of Boolean models for cancer cell networks.bblodfon.github.io · read 5 Oct 2026
- Support
- The project directs users to GitHub Issues to report bugs.bblodfon.github.io · read 5 Oct 2026
- Visualization
- The guide demonstrates plotting average activity differences and link operator differences on a network graph.bblodfon.github.io · read 5 Oct 2026
