Statistical analysis for biological data

We provide expertise in statistical analysis applied to biological data to support research projects throughout the data analysis cycle.

The services we offer guarantee methodological rigor, robust results, and reproducible analyses, in accordance with current scientific standards.
For the analysis of data from various sources (sequencing, clinical data, etc.), we offer:

Methodological advice

• Support in experimental design and analysis strategy
• Choice of statistical approaches adapted to data sets and biological questions
• Definition of comparison methods and interpretation criteria

Quality control and data processing

• Evaluation of data quality and identification of outliers
• Implementation of reproducible analysis pipelines
• Normalization and correction of technical effects

Statistical analyses

• Descriptive and exploratory data analyses
• Statistical tests and correlation analysis
• Differential analyses and dimension reduction approaches (PCA, UMAP, clustering, etc.)

Statistical modeling

• Linear models
• Multivariate models
• Generalized and mixed models (including logistic models)
• Machine learning (regularized regression, neural networks, etc.)

Visualization and reporting of results

• Production of graphical representations adapted to scientific standards 
• Synthesis of statistical results for data interpretation
• Contribution to the preparation of figures and results for publications

Scientific support

• Close interaction with research teams
• Support for statistical interpretation of results
• Participation in methodological exchanges within the framework of collaborative projects