DGDRP: drug-specific gene selection for drug response prediction via re-ranking through propagating and learning biological network.

ABSTRACT: Introduction: Drug response prediction, especially in terms of cell viability prediction, is a well-studied research problem with significant implications for personalized medicine. It enables the identification of the most effective drugs based on individual genetic profiles, aids in selecting potential drug candidates, and helps identify biomarkers that predict drug efficacy and toxicity.A deeper investigation on drug response prediction reveals that drugs exert their effects by targeting specific proteins, which in turn perturb related genes in cascading ways. This perturbation affects cellular pathways and regulatory networks, ultimately influencing the cellular response to the drug. Identifying which genes are perturbed and how they interact can provide critical insights into t

SUBMITTER: Pak M 

PROVIDER: S-EPMC11450864 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature