ToxAssay: a hierarchical model-driven tool for advanced toxicogenomics biomarker discovery.

ABSTRACT:

Motivation

Understanding the genetic basis of drug-induced toxicity is crucial for drug development. In-silico analysis of toxicogenomics datasets facilitates early detection of toxicity biomarkers. However, existing tools struggle with the complex interdependencies among hierarchically structured variables, leading to inaccurate biomarker identification. To address this limitation, we developed a Hierarchical Linear Model (HLM) and implemented it in the R package ToxAssay, offering extensive functionality for comprehensive toxicity assessment.

Results

ToxAssay outperforms existing methods by improving biomarker detection and computational efficiency. Applied to glutathione depletion-induced toxicity, it prioritized 71 key genes and identified 26 core genes with high discrim

SUBMITTER: Rana MM 

PROVIDER: S-EPMC12571508 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature