
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 preinstalled upon it. R is freely available here from the Comprehensive R Archive Network.
Teacher: Carsten Friis
Tuesday, September 21
 9:009:45
 Welcome & Introduction to R
(Lecture slides)
 9:4510:00
 Coffee Break
 10:0011:00
 Exercise:
Basic R Usage (Solutions)
 [Optional Hard Exercise:
Programming R]
 11:0012:00
 Lecture and Exercise:
Working with Objects in R (Lecture slides) (Solutions)
 12:0013:00
 Lunch Break
 13:0014:15
 Exercise:
Using BioConductor with R
 14:1514:30
 Coffee Break
 14:3015:45
 Exercise:
File I/O  Getting data into R
 15:4516:00
 Summing up and Farewell Test

The next course: MicroarrayData Analysis 1 (biopeopleCourse by H. BjÃ¸rn Nielsen and Hanne Jarmer on September 22, 2010)

This file was last modified Tuesday 4th 2013f June 2013 11:49:20 GMT 
