MATH / GMB / BCB 891
Time: February 19 – April 2, Monday 5:00-7:10pm
Location: Marsico 5004
Instructors: Chuck Perou, Katie Hoadley, Steve Marron, Andrew Nobel, Joel Parker, and Greg Forest
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 RNA and DNA NGS sequence analysis
- Learn about pattern discovery tools including hierarchical clustering and biclustering
- Understand the challenges of integrating heterogeneous data types
- Learn real world examples of complex data integration for class discovery
February 19, 2018 – Lecture 1 (Chuck Perou and Katie Hoadley)
- Lecture
- Reading Material
February 26, 2018 – Lecture 2 (Andrew Nobel)
- Lecture
- Goals for week
- Start to form groups of 3-4 students
March 5, 2018 – Lecture 3 (Katie Hoadley)
- Lecture
- Goals for week
- Groups are decided
- TCGA tumor type(s) selected
March 12, 2018 – No Class
- Goals for week
- Thinking about analysis to perform
- Email instructors as needed for advice
March 19, 2018 – Lecture 4 (Joel Parker)
- Lecture
- Goals for week
- 1-2 page summary of proposed analysis due
- Feedback will be provided by end of class
March 26, 2018 – Lecture 5 (Steve Marron)
- Lecture
- Notes – Part 1: BD2Kmodule-3-26-2018-Marron-part1
- Notes – Part 2: BD2Kmodule-3-26-2018-Marron-part2
- LungCancer2011 (Zip File of Example Matlab Program, Data & Graphics)
- Goals for week
- finalize data sets and analyses to be performed with instructors
April 2, 2018 – No Class, work on project analyses
April 9, 2018 – In Class Student Presentations (group) and 2-3 page written Report (individual)