PANACEA: Personalized Network-Based Anti-Cancer Therapy Evaluation

Identification of the most appropriate pharmacotherapy for each patient based on genomic alterations is a major challenge in personalized oncology. 'PANACEA' is a collection of personalized anti-cancer drug prioritization approaches utilizing network methods. The methods utilize personalized "driverness" scores from 'driveR' to rank drugs, mapping these onto a protein-protein interaction network. The "distance-based" method scores each drug based on these scores and distances between drugs and genes to rank given drugs. The "RWR" method propagates these scores via a random-walk with restart framework to rank the drugs. The methods are described in detail in Ulgen E, Ozisik O, Sezerman OU. 2023. PANACEA: network-based methods for pharmacotherapy prioritization in personalized oncology. Bioinformatics <doi:10.1093/bioinformatics/btad022>.

Version: 1.0.0
Depends: R (≥ 4.0)
Imports:, DBI, igraph, reshape2
Suggests: rmarkdown, knitr, testthat (≥ 3.0.0), covr
Published: 2023-05-02
Author: Ege Ulgen ORCID iD [aut, cre, cph]
Maintainer: Ege Ulgen <egeulgen at>
License: MIT + file LICENSE
NeedsCompilation: yes
Citation: PANACEA citation info
Materials: README
CRAN checks: PANACEA results


Reference manual: PANACEA.pdf
Vignettes: How to use PANACEA


Package source: PANACEA_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): PANACEA_1.0.0.tgz, r-oldrel (arm64): PANACEA_1.0.0.tgz, r-release (x86_64): PANACEA_1.0.0.tgz, r-oldrel (x86_64): PANACEA_1.0.0.tgz


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