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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:

About the Instructor:

David Ruau; Postdoctoral Research fellow, Pediatrics
Please contact David Ruau if you have questions about course content, etc.


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.