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: |
1.1.0 |
| Depends: |
R (≥ 4.0) |
| Imports: |
DBI, igraph, reshape2 |
| Suggests: |
org.Hs.eg.db, rmarkdown, knitr, testthat (≥ 3.0.0), covr |
| Published: |
2025-12-22 |
| 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:
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