This is a team work from the Zhang lab:
- Create generalized functions to be used to analyze different single-cell datasets.
- Implement Machine learning and statistical modeling code for single-cell omics data analysis and integration.
- Share tutorial code for single-cell QC, visualization, etc
Here we just illustrate several:
- ⭐ Single-cell doublet detection
- ⭐ Single-cell TCR analysis, take CD8 T cell TCR as an example
- ⭐ Tutorial of single-cell RNA-seq analytical pipeline
- ⭐ CITEs-seq QC and downstream analysis
- ⭐ Mixed effect modeling on associating single-cell data with synovial phenotypes
We are adding more functions to this repository and stay tuned 🔥