Wir haben ein dediziertes Team mit Fokus auf Life Science
Unsere Kompetenzen:
Machine
Learning
Supervised learning
Unsupervised learning
Modeling
Feature engineering
Cluster analysis
Neuronal networks
Deep learning
Biostatistics/Bioinformatics
- Data exploration
- Statistical modeling
- RWD
- Clinical studies
- Time-to-event analysis
- Time series analysis
- A/B Testing
- Regression/ANOVA/mixed models
- Pattern recognition
- Omics analysis
- DoEs
Tools
- R
- SAS
- Python
- jmp
- C/C++
- Hadoop
- Tensorflow
- Spark
Projekterfahrung:
- Real world data: Analyzing the “the largest real world oncology database”
- DoEs: large molecule research flow
-
Deep patients: autoencoders for electronic health records (EHRs)
- Posttranslation modifications (in silico prediction)
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