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
Outline: Introduction to 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.
The course details may change (time, location, topic, etc.), please refer to the class syllabus on the TIGP Bioinformatics Program before each class: https://idv.sinica.edu.tw/tigpbio/index.html 【For Non-BP student】 For Non-BP student to register/sit-in any BP course, it is required to gain course chair's permission: (1) Basic Enrollment Information form (https://forms.gle/oK7vJzzrx9EvybbT9) (2) TIGP-BP Course Registration Consent Form (https://idv.sinica.edu.tw/tigpbio/index/TIGP%20Bioinformatics_Class%20Registration%20Consent%20Form.docx) ※ Deadline: the 4th week of each semester. ※ Signature of the course chair should be collected before submission. Incomplete form will not be accepted. ※Course grade will NOT be given (even class enrollment is completed at school) if fail to follow the above procedures.
無備註
TA: N/A (Please refer to the lectures respectively shall you have any questions for each class).
Grades: Midterm exam 50%. Final exam 50%.
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| 週次 | 主題 |
|---|---|
| 第 1 週 | *May be rescheduled, please refer to the BP website (https://idv.sinica.edu.tw/tigpbio/index.html) for the latest info.* Analysis of NGS data I 2026-02-26(四) 時數：[2026-02-26]國際研究生學程(3.00) |
| 第 2 週 | *May be rescheduled, please refer to the BP website (https://idv.sinica.edu.tw/tigpbio/index.html) for the latest info.* Analysis of NGS data II 2026-03-05(四) 時數：[2026-03-05]國際研究生學程(3.00) |
| 第 3 週 | Maximum likelihood estimates and the EM algorithm I 2026-03-12(四) 時數：[2026-03-12]國際研究生學程(3.00) |
| 第 4 週 | Maximum likelihood estimates and the EM algorithm II 2026-03-19(四) 時數：[2026-03-19]國際研究生學程(3.00) |
| 第 5 週 | Bayesian Statistics 2026-03-26(四) 時數：[2026-03-26]國際研究生學程(3.00) |
| 第 6 週 | Resampling methods 2026-04-02(四) 時數：[2026-04-02]國際研究生學程(3.00) |
| 第 7 週 | Monte Carlo Markov Chains 2026-04-09(四) 時數：[2026-04-09]國際研究生學程(3.00) |
| 第 8 週 | Midterm Exam 2026-04-16(四) 時數：[2026-04-16]國際研究生學程(3.00) |
| 第 9 週 | Prediction of Drug Response 2026-04-23(四) 時數：[2026-04-23]國際研究生學程(3.00) |
| 第 10 週 | Cluster Analysis 2026-04-30(四) 時數：[2026-04-30]國際研究生學程(3.00) |
| 第 11 週 | Classification and Its Assessment 2026-05-07(四) 時數：[2026-05-07]國際研究生學程(3.00) |
| 第 12 週 | Statistics in Human Genetics/Genomics I 2026-05-14(四) 時數：[2026-05-14]國際研究生學程(3.00) |
| 第 13 週 | Statistics in Human Genetics/Genomics II 2026-05-21(四) 時數：[2026-05-21]國際研究生學程(3.00) |
| 第 14 週 | Advanced regression and dimension reduction I 2026-05-28(四) 時數：[2026-05-28]國際研究生學程(3.00) |
| 第 15 週 | Advanced regression and dimension reduction II 2026-06-04(四) 時數：[2026-06-04]國際研究生學程(3.00) |
| 第 16 週 | Final Exam 2026-06-11(四) 時數：[2026-06-11]國際研究生學程(3.00) |
N/A
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