Sparse spectral graph analysis and its application to gastric cancer drug resistance-specific molecular interplays identification.

ABSTRACT: Uncovering acquired drug resistance mechanisms has garnered considerable attention as drug resistance leads to treatment failure and death in patients with cancer. Although several bioinformatics studies developed various computational methodologies to uncover the drug resistance mechanisms in cancer chemotherapy, most studies were based on individual or differential gene expression analysis. However the single gene-based analysis is not enough, because perturbations in complex molecular networks are involved in anti-cancer drug resistance mechanisms. The main goal of this study is to reveal crucial molecular interplay that plays key roles in mechanism underlying acquired gastric cancer drug resistance. To uncover the mechanism and molecular characteristics of drug resistance, we propose a

SUBMITTER: Park H 

PROVIDER: S-EPMC11226138 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature