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: 1.0.1 Depends: R (≥ 4.0) Imports: org.Hs.eg.db, DBI, igraph, reshape2 Suggests: rmarkdown, knitr, testthat (≥ 3.0.0), covr Published: 2023-08-19 DOI: 10.32614/CRAN.package.PANACEA Author: Ege Ulgen [aut, cre, cph] Maintainer: Ege Ulgen <egeulgen at gmail.com> BugReports: https://github.com/egeulgen/PANACEA/issues License: MIT + file LICENSE URL: https://github.com/egeulgen/PANACEA, https://egeulgen.github.io/PANACEA/ NeedsCompilation: yes Citation: PANACEA citation info Materials: README, NEWS CRAN checks: PANACEA results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=PANACEA to link to this page.
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