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Experimental Design
News & Events
Good experimental design is essential for a successful statistical data analysis. Choosing a proper design is especially important for high-throughput technologies like microarrays which measure a high-number of variables, but where a fully satisfactory high number of replicates is simply not affordable.
We offer informal, project-specific consulting sessions where we assess the needs and discuss the optimal "-omics" approach to meet these needs.
Typical issues that we address
- number of replicates
- sample pooling
- data analysis strategies
- ...
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