R intense course

1. Day 1. R introduction, installation, variable assignments, vectors, plots for beginners, data frames, files, ggplot2, R markdown

   • [lect1]

Tutorial

Tutorial_markdown

2. Day 2. Basic statistical tests, if/for/apply/merge, multiple testing, Bioconductor

• [lect2.1]

Tutorial

[lect2.2] Tutorial if/for/apply/merge

[Bioconductor]

[multiple testing]

3. Day 3. Linear models, machine learning

[lect3] Dataset - laptop prices Tutorial [Clustering]

Problem solving: clustering and machine learning

Example about promoters / enhancers Tutorial - enhancers vs Promoters (glm) Tutorial - enhancers vs Promoters (SVM and other)

4. Day 4. dplyr