Course title Cancer Genomics and Class Discovery
Course Offering: MATH 891.005
Instructor of Record: Greg Forest
Also offered as: GNET
Instructor of Record: Charles Perou, Katie Hoadley, Joel Parker
Also offered as: STOR
Instructor of Record: Steve Marron, Andrew Nobel
Also offered as:  
Instructor of Record:  
Course description The objectives of this course are to: Gain an understanding of the genomic data types being collected on human tumors; Learn about the basics of DNA sequence analysis coming from NGS platforms; Learn about pattern discovery tools including hierarchical clustering and biclustering; Understand the challenges of integrating heterogeneous data types; See real world examples of complex data integration for class discovery that can be applied to any disease type for which multiple technologies are used
Prerequisites current enrollment in graduate program of any participating Department in the NIH T32 BD2K graduate training program
Start and end date Feb 20, 27, March 6, 20, 27, April 3   2017
Meeting pattern Mondays 5:00pm-7:30pm (tentative)
Location: Marisco Hall 5004


Lecture 1: