All materials of the course are
licensed by the course instructors under the Attribution-NonCommercial
4.0 International license.
Time : Tues Thurs 9:00 - 10:30am
Location: Building and room number listed on Canvas
| Date | Pre-reading | Topic | Instructor |
|---|---|---|---|
| Tue Jan 7 | 1 | Lecture 1: Course intro; Molecular biology primer | Keegan |
| Thu Jan 9 | Lecture 2: High-dimensional biology intro: RNA, DNA, methylation, ChIP-Seq | Keegan | |
| Tue Jan 14 | 1 | Lecture 3: Exploratory data analysis; confounding & batch effects | Keegan |
| Thu Jan 16 | 1, 2, 3 | Lecture 4: Statistics & probability primer | Keegan |
| Tue Jan 21 | 1 | Lecture 5: Statistical inference: two groups | Keegan |
| Thu Jan 23 | 1, 2, 3 | Lecture 6: Statistical inference: linear regression & ANOVA | Keegan |
| Tue Jan 28 | 1 | Lecture 7: Statistical inference: multiple linear regression | Keegan |
| Thu Jan 30 | Project proposal meetings | ||
| Tue Feb 4 | 1 | Lecture 8: Statistical inference: continuous model & limma | Keegan |
| Thu Feb 6 | 1 | Lecture 9: Statistical inference: multiple testing | Keegan |
| Tue Feb 11 | 1 | Lecture 10: Application of statistical inference to RNA-seq | Keegan |
| Thu Feb 13 | 1 | Lecture 11: Application of statistical inference to epigenetics | Yongjin |
| Tue Feb 18 | Reading break (no class) | ||
| Thu Feb 20 | Reading break (no class) | ||
| Tue Feb 25 | 1 | Lecture 12: Gene set enrichment | Yongjin |
| Thu Feb 27 | Lecture 13: Supervised learning: GWAS | Yongjin | |
| Tue Mar 4 | Lecture 14: Supervised learning: polygenic risk prediction | Yongjin | |
| Thu Mar 6 | Lecture 15: Supervised learning: post-GWAS analysis | Yongjin | |
| Tue Mar 11 | Lecture 16: Single-cell data analysis: technology and data normalization | Yongjin | |
| Thu Mar 13 | Lecture 17: Unsupervised learning: application of latent factor models to scRNA-seq | Yongjin | |
| Tue Mar 18 | Lecture 18: Unsupervised learning: recent approaches | Yongjin | |
| Thu Mar 20 | BIG Research Day (no class) | ||
| Tue Mar 25 | Lecture 19: Modelling & Bayesian data analysis | Yongjin | |
| Thu Mar 27 | Lecture 20: Spatial Transcriptomics | Yongjin | |
| Tue Apr 1 | Final Project Presentations | ||
| Thu Apr 3 | Final Project Presentations | ||
| Tue Apr 8 | Final Project Presentations |
Supplemental Files:
All materials of the course are
licensed by the course instructors under the Attribution-NonCommercial
4.0 International license.