Statistics for
High-Dimensional Data, 2016
Lecturers: Wessel van Wieringen and Mark
van de
Wiel. Below you find the material from Mark. Wessel's
material can be found here.
PCA, Clustering, Differential
expression analysis, Shrinkage & Empirical Bayes
Lectures
- PCA, Clustering, Shrinkage (1). Slides.
- Differential
expression analysis: limma + edgeR. Slides. Demo script.
- GLM (intro) + ShrinkBayes
- Intro GLM. Slides.
- Background material GLM (not compulsory). Slides.
- Bayesian (shrinkage) analysis of high-dimensional data: ShrinkBayes. Slides. R-Vignette.
Exercises (will be
updated weekly)
Data sets: d10000.Rdata and datamiRseq.Rdata
Multiple Testing
- Multiple Testing (1), FWER
- Multiple Testing (2), FDR + Bayesian perspective. Slides.
Multiple testing exercises (FWER + FDR + Bayes)
Data (p-values): pvals.Rdata