Medical omics and bioinformatics analyst working across plastic surgery, wound repair, scar biology, public datasets, and reproducible research workflows.
I focus on turning clinical questions into traceable analysis pipelines, interpretable biological results, and clean figures for manuscripts and collaboration.
- Single-cell RNA-seq and spatial transcriptomics for wound repair and scar biology
- Public database mining for clinically relevant hypotheses
- Multi-omics integration and pathway-level interpretation
- R / Python workflows for reproducible analysis and figure generation
- Medical AI and clinical decision-support literature tracking
- AI-assisted scientific writing with evidence control and citation discipline
| Project | Type | What it is for |
|---|---|---|
| ncfigR | R package | Drawing common bioinformatics figure panels from tidy source-data tables. |
| NC Bioinformatics Figure Skills | Codex skill | Learning figure design from reproducible omics papers. |
R / Python
Seurat / Scanpy
ggplot2 / ComplexHeatmap / patchwork
single-cell RNA-seq / spatial transcriptomics
public database mining / clinical research analytics
reproducible figures / manuscript-ready outputs
- Plastic surgery and wound repair
- Scar and keloid biology
- Single-cell and multi-omics analysis
- Public database mining
- Medical AI and clinical decision support
- AI-assisted scientific writing
- Email: jcx981212@163.com