doi:10.1093/bioinformatics/btad022>.">

PANACEA: Personalized Network-Based Anti-Cancer Therapy Evaluation (original) (raw)

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 ORCID iD [aut, cre, cph]
Maintainer: Ege Ulgen
BugReports: https://github.com/egeulgen/PANACEA/issues
License: MIT + file
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 formhttps://CRAN.R-project.org/package=PANACEAto link to this page.