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PerkinElmer Signals Translational Professional

Effectively select cohorts and enhance patient stratification for improved clinical trials, and perform exploratory analysis to test (and adapt) your Biomarker based hypothesis. Learn more.

Part Number SignalsTP
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Aiming to apply best-practices to patient stratification strategies, analytics in PerkinElmer Signals Translational are designed to take the complexity out of analytics - so that, more users (not just those with expertise in statistical tools) can test and adapt their hypothesis - Gain insights faster - and make informed decisions earlier in the patient stratification process.

Powered by TIBCO Spotfire® and specifically addressing Translational use cases, a scientist can easily ‘stitch’ together repeatable analytics’ protocols using an ever-expanding set of Signals Translational Apps. These protocols can then be shared across the organisation to enable a broader user base with consistent and repeatable analytics for Patient stratification!

Perform cross-study analysis and establish best-practices for patient stratification with PerkinElmer Signals Translational Professional. Amongst its many benefits it includes:

  • Analytics designed specifically for Translational use cases and powered by TIBCO Spotfire
  • Stitch together an ever-expanding set of configurable Signals Translational Apps to create re-useable analytics protocols
  • An integrated cohort selection panel to effectively stratify your patient population and manage analyses
  • Shareable protocols to broaden your user base and reduce the burden on data scientists
  • Leverage TIBCO Spotfire platform and extend your analysis further to harness the power of statistical engines like R

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White Paper

Better Informed Patient Stratification Using PerkinElmer Signals Translational

Translational researchers need user-friendly applications to test their biomarker hypothesis. This white paper details how analytics in PerkinElmer Signals Translational are designed precisely to help scientists extract real actionable insights for their Biomarker Discovery projects through:

  • Repeatable and scalable advanced analytics
  • Prepare and share guided analytics protocols
  • Integrated cohort selection for patient stratification
  • PDF 1 MB