Introduction of PART I

1.Setup

2.Linux

3.Bash and Github

4.R

5.Python

6.Perl

Conclusion of PART I

1.Machine Learning

2.Feature Selection

3.Machine Learning Practice

4.Deep Learning

Introduction of PART III

Case Study 1. exRNA-seq

Case Study 2. exSEEK

Case Study 3. DeepSHAPE

Appendix I. Keep Learning

Appendix II. Public Data

Appendix III. Mapping Protocol of RNA-seq

Appendix IV. Useful tools for bioinformatics

I. Docker Manual

II. Local Gitbook Builder

III. Teaching Materials