這是約翰霍普金斯大學提供的教學時程。因此，有部分的資料或是內容對開放式課程的自學者來說或許無法獲得。
教學時程
| SESSION # | 課程主題 | 上課內容 |
|---|---|---|
| 1 | Introduction to Molecular Biology and Array Technology | Lecture |
| 2 | Introduction to R | Lab |
| 3 | Introduction to Differential Expression | Lecture |
| 4 | Introduction to Bioconductor | Lab |
| 5 | Probe Level Data and Background Adjustments | Lecture |
| 6 | Bioconductor R, Emacs, ESS Catch Up | Lab |
| 7 | Normalization | Lecture |
| 8 | limma | Lab |
| 9 | Advanced Differentail Exprresion: Introduction to Emprical Bayes, Mutliple Comparasons | Lecture |
| 10 | limma and SAM | Lab |
| 11 | Distances, Clustering, and Prediction | Lecture |
| 12 | Heatmaps and MLInterfaces | Lab |
| 13 | Pre-processing Affymetrix GeneChips: Expression and SNP | Lecture |
| 14 | Pre-processing Affymetrix GeneChips | Lab |
| 15 | Annotation | Lecture |
| 16 | Pre-processing ctd and Annotation | Lab |
