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.
- Using R for Data Analysis: Introduction to R for researchers. Teachers: Renee de Menezes, Jelle Goeman, Szymon Kielbasa, Ramin Monajemi. Locations alternate between LUMC and VUmc. Next VUmc edition: 28th, 29th, 31st January and 1st February 2019 (registration form VUmc edition 2019).The next LUMC edition will be held in June (4th, 5th, 6th, 7th). You can register via the Boerhaave Nascholing site. For more details see the course site.
- Statistics for Omics, VUmc/BioSB course. Next edition: 24th, 26th, 27th and 28th June 2019. 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. Registration form.
- 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. Teachers: Wessel van Wieringen and Mark van de Wiel.
- Regression Techniques, Master Epidemiology, VUmc. Teachers: Tim van de Brug and Jos Twisk.
- 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