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 (PIN). 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.
See also
score_drugs for the wrapper function for scoring of
drugs via network-based methods
Author
Maintainer: Ege Ulgen egeulgen@gmail.com (ORCID) [copyright holder]