III. Teaching Materials
Last updated
Last updated
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
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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