Manuscript title

Machine learning-assisted viral quasispecies analysis: a novel approach for apprasing the immune tolerant phase of chronic hepatitis B

Authors

First Authors

• Dr. Mingjie Wang

• Prof. Li Chen

Corespoding Authors

• Prof. Xinxin Zhang
• Prof. Fabien Zoulim
• Prof. Jiming Zhang

Aim & Purpose

All the scripts used in the manuscript were deposited here for several purposes and aims.

1. To demenstrate the reliability and reproducibility of the results.
2. Making the codes fully accessible to researcher doing relavant researches
3. Looking forward to valuable suggestions and useful upgrades
4. Finding someone who has interests in similar studies (ngs, viral QS, viral hepatitis).

Code architecture

Basically three folders corespond to three parts of the whole data manipulation and calculation procedure.

1. NGS raw data pre-processing

   From fastq reads to viral haplotype quantification view

2. Machine learning model construction and evaluation

   From viral quantification to clinical diagnostic models view

3. Hierarchical clustering, principle components analysis and K-means classification

   From viral quantification to clinical phenotypes view

Contact

If you have found any errors or encountered any bugs when running the scripts, please feel no hesitation to report it here or directly email me huzai92021@126.com.