Built using state of the art Big Data technologies – PerkinElmer Signals™ Translational stages your clinical and translation data in the most effective way possible for cross-study cohort selection and analytics.
Our translational research solution is designed to semantically harmonize, intuitively search and effectively aggregate your data for ad-hoc cohort selection- ready for testing your biomarker hypothesis for patient stratification. This self-service data querying is further enhanced by integration with Translational Analytics- making the data flow from searching to aggregation to retrieval to guided analytics seamless- A turnkey solution for data searching, aggregation, analytics and Patient Stratification!
Enable seamless data access for on-demand querying, data aggregation and integrated Translational analytics for cross-study analysis to perform cross-study analysis and apply best-practices for patient stratification. Determined to break data silos, the collaborative framework is ideal for effective integration of data from private and public data sources using its flexible yet robust information model.
PerkinElmer Signals Translational Enterprise’s data staging capabilities include
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: