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Genedata Expressionist®: Cross-omics

A true cross-omics approach for better biomarkers

Joining the previously disparate, Expressionist analyzes and integrates transcriptomics, proteomics, metabolomics and conventional toxicology data in a single software platform.


Schema of combined analysis of transcriptomics, proteomics and metabolomics data


With the analysis of phenotypic data – clinical chemistry, histopathology, physiology, and stressor data - Genedata Expressionist takes a true cross-omics approach to better biomarkers.

Cross-omics delivers more informative biomarkers than the single technology approach: The prediction of a disease state or mode-of-action of a compound becomes more precise with fewer items needed.

Reliable high-quality biomarkers can benefit pharmaceutical R&D in many ways: informed drug candidate selection, prediction of a compound’s toxicity and mode-of-action, pharmaco-dynamics evaluation, patient stratification, personalized medicine, clinical trial diagnosis etc.

The Expressionist Integrated analysis application note focuses on:

  • Combining omics and conventional toxicology data
  • Integrating across omics for reliable prediction results
  • Validating results using multiple technology platforms
  • Analyzing microarrays across versions and generations


Click for a list of supported technologies.


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