PhD Course: Gene Expression Analysis Using R
The course includes a combination of lectures, group discussions and computer exercises. Participants are directly performing the analyses of gene expression data from different applications. We focus on developing practical skills; therefore, you need to have experience in R programming.
| Hours (HP): | 54 (2,0) |
| Code (s): | SC00034 |
| Week (s): | 38-42 |
The following topics covered are:
- Experimental design
- qPCR analysis
- Microarray analysis
- RNAseq analysis
- Single cell RNAseq analysis
Notes
The course comprises 54 working hours where you are expected to spend time of your own to complete the exercises (self-studies)
Participants are required to bring their own computer with the corresponding administrator rights.
Course Prerequisites
To get the most of the course, students are expected to be familiar working with R. To assess this, participants must complete a task to be accepted
Experience with R programming is a requirement. If you are an R beginner or have not worked with R before, we recommend taking our “R programming” course.