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:
Success of clinical trials is increasingly reliant on better informed patient stratification strategies, which can be beset by inefficiencies related to collaborative data access, ad-hoc querying, aggregation and repeatable analytics for cross-study biomarker analysis.
Using datasets from The Cancer Genome Atlas (TCGA), this white paper details how PerkinElmer Signals™ Translational is designed precisely to address the above- mentioned inefficiencies by providing scientists with user friendly applications that enable: