Using R for Gene Expression Analysis: Part 2
Video Available *SUNetID required
Part 2 will focus on analyzing your gene list and making sense out of it. I will present the commonly used data mining tools for gene expression analysis. Supervised and un-supervised clustering techniques and graphical representation will be shown using different metrics.
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.