Prerequisites:
Addressed to researchers already familiar with R and basics of statistics
Description:
Main focus: “R&Bioconductor and Multiple hypothesis testing”
This tutorial session will provide a brief introduction to Data Science and data manipulation using R and the Jupyter notebooks.
Program:
- R&Bioconductor
- Basic data types, Classes and Methods
- Useful R packages and functions
- Multiple hypothesis Testing (FDR, Bonferroni and Benjamini correction)
- Examples (exercise notebook)
Outline/ content
The hands-on components of this module are contained in the following tutorials: