Biomarker Data Analyses Services
Firalis has extensive experience in data analysis and utilizes innovative techniques to identify novel biomarker candidates for diagnostics, patient stratification and follow-up or treatment response. Our statistical department can support your projects with the analysis and integration of multidimensional data through the lifecycle of your clinical studies from the experimental design to the interpretation of the results. Firalis aims to develop predictive models, assess their performance and validate them.
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Details
Firalis follows the guidelines provided by the ICH as well as the Good Laboratory Pratices defined by the FDA and the EMA.
Firalis conducts integrative analysis from:
- Biomarker concentration data
- Clinical data (demographic, clinical laboratory results, imaging interpretation,…)
- Genomic data (miRNA, RNA seq., DNA…)
- Flow cytometry data
Our biostatisticians use a wide range of tools and programs for data analysis including SAS, R/Bioconductor, Partek Genomics Suite and Orange Canvas.
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