Reassessing pharmacogenomic cell sensitivity with multilevel statistical models.

ABSTRACT: Pharmacogenomic experiments allow for the systematic testing of drugs, at varying dosage concentrations, to study how genomic markers correlate with cell sensitivity to treatment. The first step in the analysis is to quantify the response of cell lines to variable dosage concentrations of the drugs being tested. The signal to noise in these measurements can be low due to biological and experimental variability. However, the increasing availability of pharmacogenomic studies provides replicated data sets that can be leveraged to gain power. To do this, we formulate a hierarchical mixture model to estimate the drug-specific mixture distributions for estimating cell sensitivity and for assessing drug effect type as either broad or targeted effect. We use this formulation to propose a unified

SUBMITTER: Ploenzke M 

PROVIDER: S-EPMC10583722 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature