The workshop provides an introduction to REDCap for the development and management of registries and surveys through hands on exercises. The skills can maximise the value of the data being captured in clinical studies. No prior statistical or computing knowledge is required.
Microarray Data
QFAB offers a wide range of statistical and bioinformatic analyses of microarray data, ranging from design and quality control to samples comparison for differential expression analysis from different conditions, patients and time points:
- Design
- Quality Control
- Normalisation
- Quantification : gene expression, exon level, copy number…
- Gene ontology
- Differential samples comparison, and comparison with public datasets
- Combination and integration with other data (chip, miRNA…)
- Pathway analysis
- Integration of microarray data with other expression data and clinical data
We support data from most of the existing platforms (Affymetrix, Agilent…).
