III. Teaching Materials
Teaching Videos
| Content | Youtube | Bilibili |
|---|---|---|
PART I Programming Skills | ||
1. Setup | ||
2. Linux | ||
3. Bash and Github | ||
4a. R Basics | ||
4b. R Advanced (by Yang Eric Li) | ||
5.Python | ||
6.perl | ||
PART II. Machine Learning Skills | **** | |
1.Machine Learning Basics | ||
2.Feature Selection | ||
PART III. Case Study 1. exRNA-seq | ||
1.1a) Mapping | ||
1.1b) Run your job example in bash | ||
1.2. Expression matrix | ||
1.3. Differential expression | ||
1.4a. Normalization 1 | ||
1.4b. Normalization 2 |
Source Files (Private) @ Nextcloud
Last updated