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Assessment of TGx-DDI genes for genotoxicity in a comprehensive panel of chemicals.

A Rasim Barutcu
Published in: Toxicology mechanisms and methods (2024)
Unsupervised learning approaches applied to TGx-DDI profiles effectively categorizes chemical genotoxicity potential, aiding elucidation of biological response pathways. This transcriptomics-based strategy gives further insight into the role and effect of individual TGx-DDI biomarker genes and complements existing assays by enhancing mechanistic resolution. Overall, TGx-DDI biomarker profiling holds promise for predictive safety screening.
Keyphrases
  • single cell
  • genome wide
  • genome wide identification
  • machine learning
  • bioinformatics analysis
  • high throughput
  • big data
  • genome wide analysis
  • single molecule
  • oxide nanoparticles
  • transcription factor
  • climate change