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Biopeople - Microarray Analysis: Introduction to R
Course Program - September 21, 2010
Lectures and exercises will take place at the Center for Biological Sequence Analysis at the Technical University of Denmark,
Building 208, Auditorium 062, in Lyngby.
Course content: The course will provide a base level introduction to the R statistical software environment, which is a GNU public license alternative to tools like S, Matlab, SAS, etc. The participants will be able to use R to perform basic algebra and employ generic statistical methods as well as access utilities specifically designed for microarray analysis through the Bioconductor resource. No previous knowledge about R or other mathematical environments is required.
Course Material: The official Introduction to R which also exists as a pdf is freely available online. Although you're welcome, You do not need to read it beforehand. Rather, use it as a reference during the exercises.
You will need to bring your own laptop with R pre-installed upon it. R is freely available here from the Comprehensive R Archive Network.
Teacher: Carsten Friis
Tuesday, September 21
- 9:00-9:45
- Welcome & Introduction to R
(Lecture slides)
- 9:45-10:00
- Coffee Break
- 10:00-11:00
- Exercise:
Basic R Usage (Solutions)
- [Optional Hard Exercise:
Programming R]
- 11:00-12:00
- Lecture and Exercise:
Working with Objects in R (Lecture slides) (Solutions)
- 12:00-13:00
- Lunch Break
- 13:00-14:15
- Exercise:
Using BioConductor with R
- 14:15-14:30
- Coffee Break
- 14:30-15:45
- Exercise:
File I/O - Getting data into R
- 15:45-16:00
- Summing up and Farewell Test
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The next course: Microarray-Data Analysis 1 (biopeople-Course by H. Bjørn Nielsen and Hanne Jarmer on September 22, 2010)
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