Highlights
Daiichi Sankyo subsidiary Asubio uses Expressionist to manage DNA array and molecular profiling data
Gene Expression analysis is a proven method to acquire a differentiating set of markers for compound characterization. Patterns identified by statistical analysis can be mapped to mechanisms of actions (MOA) either through classification (machine learning) approaches or interpretation of the gene sets found.
The value of any marker or pattern of markers is directly related to the reliability of the data they are based on. Genedata Expressionist® supports maximum reliability through standardization and automation of the quality assessment and processing of raw data from high-throughput assay technologies. Expressionist delivers a comprehensive collection of uni- and multi-parametric statistical analyses for the definition of suitable marker sets and the assessment of their value for classification and prediction applications. Further analyses support the interpretation of marker sets on their biological background levering available annotation and ontologies or complementing products like Genedata Phylosopher.
Key Features
- Rapid and standardizable pre-processing and quality assessment of omics raw data
- Flexible integration of diverse data based on common annotations or study design
- Unlimited scalability to large data sets of hundreds of millions of data points
- Comprehensive analyses for biomarker discovery and in-silico prediction
- Streamlined integration with complementing analysis tools
- Efficient documentation and reporting of analysis results