We give statistical support to VUmc researchers. This may be needed at various study stages, such as for:
- study design: minimal sample size determination and power analysis, as well as considerations in terms of variables to measure, both clinical and technical, that may be considered later on when analysing the data
- data pre-processing: exploratory data analysis, to check for technical and biological sources of variation, and possible data scaling to allow for using desirable statistical approaches
- data analysis: we have large expertise in analysis of high-dimensional and big data, both continuous (as from microarrays) and as counts (as from next-generation sequencing)
Our analyses include: preprocessing (e.g. normalization), exploratory analysis (like clustering), differential expression testing, longitudinal modelling, survival prediction, classification, marker selection, network analysis and integration.
Our focus is in studies involving omics data, and we have vast experience with many data types. In our group we consider a wide variety of omics data.
Many of us have started working with omics data produced by microarrays, such as DNA copy number, RNA expression and even DNA methylation and microRNA expression. We have vast experience in both pre-processing and analysis of such data.
Currently, most omics profiles are obtained via next-generation sequencing (NGS). Analyses of omics profiles produced by NGS are performed routinely by our group, including that of DNA copy number and methylation, RNAseq and microRNAseq. We also perform some pre-processing, after data alignment.
We also regularly handle (whole-genome) RNA-interference screens data, metabolomics data, and microbiomics data, from pre-processing to analysis.
VUmc researchers interested in a meeting should fill in a form requesting consultancy, available here (in Dutch).