| 1 |
Genomic Introduction |
|
| 2 |
Introduction to Biology and Genomic Measurement |
|
| 3 |
Measurement Techniques - Butte |
|
| 4 |
Microarray - Massively Parrallel Measuremment |
|
| 5 |
Limits of Technologies |
|
| 6 |
Information Science at the Center of Genomic Medicine |
|
| 7 |
Informational Resources |
|
| 8 |
Complex Traits: What to Believe |
|
| 9 |
Machine-learning Approach |
|
| 10 |
Association with Markers |
|
| 11 |
The Importance of Data Representation |
|
| 12 |
Pharmacogenomics |
|
| 13 |
Case Hx: Complex Traits |
|
| 14 |
Individualized Pharmacology |
|
| 15 |
Microarray Disease Classification |
|
| 16 |
Microarray Disease Classification II |
|
| 17 |
Direct Prediction of Outcome / Mortality |
|
| 18 |
Case Hx: Cancer Diagnostics |
|
| 19 |
Modelling and Reverse Engineering |
|
| 20 |
Practical Genomic Medicine |
|
