1. 統計與生物資訊學 1 : 課程簡介 (Introduction) 陳光琦助理教授 (Kuang-Chi Chen) chichen6@mail.tcu.edu.tw

2. Textbooks 1. Data Analysis Tools for DNA Microarrays, Sorin Draghici, Chapman & Hall/CRC, 2003. 2. Design and Analysis of DNA Microarray Investigations, Simon, Korn, McShane, Radmacher, Wright and Zhao, Springer, 2003. Reference: Statistical Analysis of Gene Expression Microarray Data, Terry Speed, Chapman & Hall/CRC, 2003.

3. Schedule-1 W1Introduction W2Introduction to Bioinformatics W3Microarrays W4Image Processing W5Quality Control W6Data Pre-processing W7Array Normalization (I): Methods for Two- Color Arrays W8Array Normalization (II): Methods for GeneChipTM Arrays W9 -- Midterm

4. Schedule-2 W10Analysis and Visualization W11Class Comparison (I): Examining Differentially Regulated Genes W12Class Comparison (II): Identifying Differentially Regulated Genes W13Class Comparison (III): Multiple Comparisons W14Class Prediction: Discriminant Analysis or Final W15Class Discovery (I): Distance Metrics W16Class Discovery (II): Clustering Algorithms W17Oral Presentation (I) W18Oral presentation (II) or Final

5. Evaluation Assignment: Homework 20%, Assignment: Homework 20%, Oral presentation 10%, Oral presentation 10%, Attendance 10%; Attendance 10%; Exam: Midterm 30%, Exam: Midterm 30%, Final 30%. Final 30%.

6. What Is Bioinformatics? 一個跨領域的學門： 一個跨領域的學門： – 結合生物、資訊科學、數學、物理及化學等領域 終極目標：了解生物特性及生命本質 終極目標：了解生物特性及生命本質 重要的子領域： 重要的子領域： – 大量資料的分析演算法及統計方法 – 各種生物序列, 結構, 功能及演化的分析與解釋 – 管理及使用各種型態資訊的軟體工具