Analysis of microarray gene expression data using R/BioC and web tools
General info
- Date
- 20 Jun 2011 - 24 Jun 2011
- Location
- Erasmus MC, Rotterdam
- Website
- http://www.molmed.nl/
- Contact(s)
- Frank van Vliet
Description
The course is intensive, and covers the basic concepts and methods required for microarray expression analysis. Presentations are followed by hands-on computer sessions to directly apply and get more insight in the analysis methods. One afternoon is dedicated to the analysis of a new data set, allowing the students to refresh and extend their analysis skill. After the course, the Presentations, practicals and test data will remain available for future reference. Software packages used are mostly freeware, including the statistical software R, Bioconductor, Cytoscape and web tools. The only commercial tool used is Spotfire.
- The participant has insight in the issues involved in good experimental design, including power to detect differential expression.
- The participant knows and can perform analysis steps in microarray data analysis, visually present and judge the results for:
• quality control and preprocessing,
• finding differentially expressed genes,
• cluster analysis,
• classification analysis,
• pathway testing. - The participant has insight in the different algorithms and options available to perform an analysis, and can make an informed choice.
- The participant knows the pitfalls of existing analyses and is able to critically judge the statistical analysis of microarray expression data performed by others.
Teachers:
|

