Using R for Gene Expression Analysis - Bring Your Data: Part 3
Video Available *SUNetID required
The first hour will focused on interpreting your data using external sources of knowledge to make sense of your gene list. We will see examples of performing a Gene Ontology over-representation in R, including a graphical representation. The second part of the session will be a hands-on session where participants bring their own data. Relevant problems and questions will be selected and solved during the class.
The lecture is based on several books:
- Bioinformatics and computational biology solutions using R and Bioconductor: http://tiny.cc/adbn6
- Bioconductor case studies: http://tiny.cc/oival
- Finding Groups in Data: http://tiny.cc/1xru4
About the Instructor:David Ruau; Postdoctoral Research fellow, Pediatrics
Please if you have questions about course content, etc.
Prequisites:Attendees should have the skills covered in the "Basics of R Programming Part 1" and "Basics of R Programming Part 2 " sessions.
Attendees must have completed the instructions installing R on a Windows Machine or a Mac before taking this class.