| 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:
- BD2K-Lecture-FEB-2017-v3-post_Part1
- BD2K-Lecture-FEB-2017-v3-post_Part2
- BD2K-Lecture-March-6th-2017
- Accessing TCGA Data
- Matlab Script and Data for input (March 6th)
Literature