BIGL: Biochemically Intuitive Generalized Loewe Model

Response surface methods for drug synergy analysis. Available methods include generalized and classical Loewe formulations as well as Highest Single Agent methodology. Response surfaces can be plotted in an interactive 3-D plot and formal statistical tests for presence of synergistic effects are available. Implemented methods and tests are described in the article "BIGL: Biochemically Intuitive Generalized Loewe null model for prediction of the expected combined effect compatible with partial agonism and antagonism" by Koen Van der Borght, Annelies Tourny, Rytis Bagdziunas, Olivier Thas, Maxim Nazarov, Heather Turner, Bie Verbist & Hugo Ceulemans (2017) <doi:10.1038/s41598-017-18068-5>.

Version: 1.5.2
Depends: R (≥ 3.0)
Imports: ggplot2, MASS, methods, minpack.lm, numDeriv, parallel, progress, rgl, robustbase, scales
Suggests: knitr, rmarkdown, testthat, shiny, DT
Published: 2020-07-24
Author: Heather Turner, Annelies Tourny, Olivier Thas, Maxim Nazarov, Rytis Bagdziunas
Maintainer: Maxim Nazarov <maxim.nazarov at openanalytics.eu>
BugReports: https://github.com/openanalytics/BIGL/issues
License: GPL-3
URL: https://github.com/openanalytics/BIGL
NeedsCompilation: no
Materials: NEWS
CRAN checks: BIGL results

Downloads:

Reference manual: BIGL.pdf
Vignettes: Synergy analysis
Methodology
Package source: BIGL_1.5.2.tar.gz
Windows binaries: r-devel: BIGL_1.5.2.zip, r-release: BIGL_1.5.2.zip, r-oldrel: BIGL_1.5.2.zip
macOS binaries: r-release: BIGL_1.5.2.tgz, r-oldrel: BIGL_1.5.2.tgz
Old sources: BIGL archive

Reverse dependencies:

Reverse imports: drugCombo

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