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
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.
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Midterm exam 50%. Final exam 50%.
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| 週次 | 主題 |
|---|---|
| 第 1 週 | Descriptive Statistics, Genomic Data Analysis 2022/9/08 |
| 第 2 週 | Probability 2022/9/15 |
| 第 3 週 | Discrete Distributions and Contingency Tables 2022/9/22 |
| 第 4 週 | Continuous distributions and basic statistics 2022/9/29 |
| 第 5 週 | Parameter Estimation and Confidence Interval 2022/10/6 |
| 第 6 週 | Hypothesis Testing, P-value and False Discovery Rate 2022/10/13 |
| 第 7 週 | Review Week (no class) 2022/10/20 |
| 第 8 週 | Midterm Exam 2022/10/27 |
| 第 9 週 | Regression Analysis 2022/11/3 |
| 第 10 週 | Survival Data Analysis 2022/11/10 |
| 第 11 週 | Logistic Regression and Statistical Meta Analysis 2022/11/17 |
| 第 12 週 | Clustering 2022/11/24 |
| 第 13 週 | Nonparametric Statistics (I) 2022/12/1 |
| 第 14 週 | Nonparametric Statistics (II) 2022/12/8 |
| 第 15 週 | Review Week (no class) 2022/12/15 |
| 第 16 週 | Final Exam 2022/12/22 |
Fundamentals of Biostatistics (author: Bernard Rosner), Cengage Learning. Pattern Recognition (author: Richard O. Duda, Peter E. Hart, and David G. Stork), Wiley.
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