Open-TGGATEs is an important toxicogenomics database that has been used and referenced in many studies. Unfortunately, Open-TGGATEs were curated decades ago on the Affymetrix platform. This creates barriers for current studies that often use profiles from modern platforms such as TempO-Seq. In our study we present an AI-based methodology for modernizing Open-TGGATEs. We demonstrate the effectiveness of our approach using the measured liver profiles. Our results show that the modernized profiles maintain important relationships among treatment profiles in the original measurements.

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Modernizing Open-TGGATEs Through Data and AI Methods

  • Guojing Cong,
  • Frank Chao,
  • Parker Combs,
  • Jeremy Erickson,
  • Scott S. Auerbach

摘要

Open-TGGATEs is an important toxicogenomics database that has been used and referenced in many studies. Unfortunately, Open-TGGATEs were curated decades ago on the Affymetrix platform. This creates barriers for current studies that often use profiles from modern platforms such as TempO-Seq. In our study we present an AI-based methodology for modernizing Open-TGGATEs. We demonstrate the effectiveness of our approach using the measured liver profiles. Our results show that the modernized profiles maintain important relationships among treatment profiles in the original measurements.