Our group has wide expertise in data analysis in various areas, including:
- classic statistical problems
- (multi) omics data
- genetic screen data
- classification studies, also with omics data
“To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of.” R. A. Fisher, geneticist, biologist and statistician.
Get in touch with us early on during project development. The success of a project relies heavily on good planning, including experimental design and power calculation. We can advise researchers on these topics, including when high-dimensional data is involved.
Starting with the main research questions, we help you put together an experimental design and an analysis plan. Power analyses can subsequently be done. This part should be included in the project proposal.
Instructions of how to prepare your data can be found here.
Data analyses need to be well understood by all involved in the project. In addition, research results must be reproducible and traceable, so that someone else later on can follow and reproduce findings.
To this end, we use R for all data analysis. It gives flexibility as even relatively new statistical methods are implemented as R packages. In addition, we make dynamic reports combining comments (describing the analysis), scripts (performing the analysis), and results (including graphics). This is done by using RMarkdown.
Researchers can contact us via: firstname.lastname@example.org for an appointment.