進階生物資訊統計學
Advanced Statistical Methods in Bioinformatics
| 節 | 週四 |
|---|---|
2 09:00–09:50 | 進階生物資訊統計學 3 節連堂 |
3 10:10–11:00 | |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
Introduction to very useful and advanced statistical methods in computational biology. The topics include: Analysis of next generation sequencing (NGS) Data (e.g., RNA-Seq and ChIP-Seq), maximum likelihood estimation, the EM algorithm, Bayesian inference, Monte Carlo methods, Resampling (Bootstrap & permutation test), Human Genetics, clustering and classification, dimension-reduction and missing data.
無 (N/A)
無備註
無
Midterm exam 50%. Final exam 50%.
教師未提供此項資料
| 週次 | 主題 |
|---|---|
| 第 1 週 | Analysis of NGS data I 2/16 |
| 第 2 週 | Analysis of NGS data II 2/23 |
| 第 3 週 | Maximum likelihood estimates and the EM algorithm I 3/2 |
| 第 4 週 | Maximum likelihood estimates and the EM algorithm II 3/9 |
| 第 5 週 | Bayesian methods 3/16 |
| 第 6 週 | Monte Carlo Markov Chains 3/23 |
| 第 7 週 | Resampling methods I 3/30 |
| 第 8 週 | Review Week 4/6 |
| 第 9 週 | Midterm Exam 4/13 |
| 第 10 週 | Resampling methods II 4/20 |
| 第 11 週 | Statistics in Human Genetics I 4/27 |
| 第 12 週 | Statistics in Human Genetics II 5/4 |
| 第 13 週 | Clustering, classification and data visualization I 5/11 |
| 第 14 週 | Clustering, classification and data visualization II 5/18 |
| 第 15 週 | Advanced regression and dimension reduction I 5/25 |
| 第 16 週 | Advanced regression and dimension reduction II 6/01 |
| 第 17 週 | Review Week 6/8 |
| 第 18 週 | Final Exam 6/15 |
papers will be given by instructors
- 地點
- Institute of Information Science, Academia Sinica
- 時間
- By appointment
- 聯絡方式
- by email