We teach several courses to a diverse audience: mathematics students, statistics students, PhD students in bioinformatics, molecular biology and medicine, post-doctoral -omics researchers, etc. Below a short overview.
- Statistics for Omics, i.c.w. NKI/BioSB course. PhD students course, but researchers in general can also take part. Participants learn and apply methods to experimental data, making use of R and BioConductor packages. Topics include: Exploratory analysis and visualisation (Clustering, PCA), testing for differential expression using count data, multiple testing, prediction/classification, networks. New: analysis of radiomics and of single-cell sequencing data. Teachers: Renee de Menezes, Carel Peeters, Mark van de Wiel, Wessel van Wieringen, Ahmed Mahfouz.
- High-Dimensional Data Analysis, Statistical Science Master, Leiden University.
- Statistics for High-Dimensional Data, Mathematics Master, VU University.
Topics: penalized regression, network estimation, multiple testing, shrinkage, empirical Bayes. Teacher: Wessel van Wieringen.
- Biostatistics, Master Cardiovascular Research and Master Oncology, VUmc. Teacher: Tim van de Brug.
- Statistics, Bachelor Medical Natural Sciences, VU University Amsterdam. A general introduction to statistics from elementary probablistic concepts, descriptive statistics, t-test, ANOVA, regression, and nonparametric equivalents of the latter. Teacher: Wessel van Wieringen.
- Advanced Biostatistics. Bachelor Medical Natural Sciences, VU Amsterdam. Statistical modelling and analysis of from cellular molecular processes, using various types of graphical models: Markov chains, hidden Markov chains, phylogenetics trees, Gaussian graphical models. Teacher: Wessel van Wieringen
- Several statistics courses for medicine students (AMC/VUmc)