基礎生物資訊統計學
Fundamental Statistical Methods in Bioinformatics
| 節 | 週四 |
|---|---|
2 09:00–09:50 | 基礎生物資訊統計學 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: This course covers the fundamentals of statistics and basic tools for bioinformatics analysis. In the first part students will learn basic statistical concepts and methods, including probability, random variables and distributions, parameter estimation, hypothesis testing, regression analysis, and categorical data analysis. In the second part several commonly used methods in bioinformatics will be introduced, including statistical meta analysis, survival analysis, clustering, classification, and nonparametric statistics.
The course details may change (time, location, topic, etc.), please refer to the class syllabus on the TIGP Bioinformatics Program website before each class: https://idv.sinica.edu.tw/tigpbio/. 【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 ※ 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.
TA: To Be Announced. The course details may change (time, location, topic, etc.), please refer to the class syllabus on the TIGP Bioinformatics Program website before each class: https://idv.sinica.edu.tw/tigpbio/.
Grades: Midterm exam 50%. Final exam 50%.
| 週次 | 主題 |
|---|---|
| 第 1 週 | Descriptive Statistics, Genomic Data Analysis |
| 第 2 週 | Probability |
| 第 3 週 | Discrete Distributions and Contingency Tables |
| 第 4 週 | Continuous distributions and basic statistics |
| 第 5 週 | Parameter Estimation and Confidence Interval |
| 第 6 週 | Hypothesis Testing, P-value and False Discovery Rate |
| 第 7 週 | Review Week (No class) |
| 第 8 週 | Midterm Exam |
| 第 9 週 | Regression Analysis |
| 第 10 週 | Survival Data Analysis |
| 第 11 週 | Logistic Regression and Statistical Meta Analysis |
| 第 12 週 | Clustering |
| 第 13 週 | Nonparametric Statistics (I) |
| 第 14 週 | Nonparametric Statistics (II) |
| 第 15 週 | Review Week (No class) |
| 第 16 週 | Final Exam |
Textbook: Fundamentals of Biostatistics (author: Bernard Rosner), Cengage Learning. Reference book: Pattern Recognition (author: Richard O. Duda, Peter E. Hart, and David G. Stork), Wiley.