Personalized Network-Based Anti-Cancer Therapy Evaluation R package PANACEA version 1.1.0 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>. Software Depends: R (>= 4.0) Imports: DBI, igraph, reshape2 Suggests: org.Hs.eg.db, rmarkdown, knitr, testthat (>= 3.0.0), covr Ege Ulgen <egeulgen@gmail.com> Comprehensive R Archive Network (CRAN) Ege Ulgen [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-2090-3621>) MIT + file LICENSE (https://CRAN.R-project.org/package=PANACEA/LICENSE) 2025-12-22 application/tgz https://CRAN.R-project.org/package=PANACEA doi:10.32614/CRAN.package.PANACEA