Welcome to my bioinformatics portfolio, showcasing projects focused on:
- Single-cell RNA sequencing (scRNA-seq)
- Bulk RNAseq prognostic biomarker discovery
- Genomics and machine Learning
| Project | Description | Status |
|---|---|---|
| scRNAseq-PBMC | End-to-end single-cell analysis using 10X Genomics PBMC 3k dataset | ✅ Completed |
| bulkRNAseq-BRCA | Prognostic biomarker discovery using TCGA Breast Cancer (BRCA) RNA-seq data. Includes statistical modeling, survival analysis, biological enrichment, and a modular automation-ready pipeline. | ✅ Completed |
| genomics-ml-BRCA | Classification of breast cancer subtypes using TCGA somatic mutation data. Includes TMB analysis, driver gene profiling, pathway enrichment, and random forest modeling. | ✅ Completed |
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Languages & Libraries:
Python 3.10+- Pandas, Lifelines, GSEApy, Matplotlib, Seaborn, Plotly, scikit-learn
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Data Sources:
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Ecosystem & Tools:
Jupyter, Git, GitHub
Aman Kumar
📧 amanaastha.ak@gmail.com
🔗 LinkedIn Profile
Feel free to explore the projects above and reach out if you're interested in collaboration, feedback, or learning more!