Who are we ?
The STATS group aims at providing support to research Units from Institut Pasteur with quantitative approaches about experimental design, data analysis, or mathematical aspects. Our group gathers people with a diversity of backgrounds in mathematics, statistics, and biology, covering most of the research needs in our Institute.
Our expertise
We may help with basic and common issues :
- Basic statistics (tests, univariate approaches)
- Data visualization
- Autocorrelated data
- Computing (R, Python, Matlab and so on)
Or work with high-dimensional data :
- Multivariate approaches
- Statistical modeling
- Machine learning
In addition to regular experimental data, most of our activity is dedicated to dealing with:
- Omics data (transcriptomics, single cell, genomics, proteomics, metagenomics, metabolomics)
- Epidemiological data
- Imaging
Do not hesitate to contact us using the Hub portal
Available resources
Posters:
– The Four Horsemen of neglecting experimental design was made to raise awareness on the importance of experimental design, and focuses on four main statistical problems often encountered when dealing with biological experiment and why & how they may drastically alter the validity of some scientific findings.
– Toward enhanced reproducibility in biological experiments : mix and pick ! presents a user-friendly tool developed by our team to help researchers assigning individuals into groups without biases, using randomization.
