toy_W_mat

<p>Symmetric matrix containing example adjacency data</p>

datasets

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>.

Ege Ulgen

PANACEA

toy_W_mat: Toy Adjacency Matrix (for examples)

Description

Usage

Arguments

Format