I will perform single cell rna seq analysis and cell type annotation
About this Gig
Do you have single-cell RNA-seq data that needs
professional analysis and cell type identification?
I will analyze your scRNA-seq dataset using Seurat
and deliver a complete cell type annotation with
publication-ready visualizations.
WHAT YOU GET:
- Quality control and filtering of low quality cells
- Normalization and scaling
- PCA dimensionality reduction
- Graph-based clustering
- UMAP visualization
- Marker gene identification per cluster
- Biological cell type annotation
- Complete analysis report
MY EXPERIENCE:
I analyzed 2,700 human PBMCs identifying 9 distinct
cell populations including T cells, B cells, NK cells,
Monocytes, Dendritic cells and Platelets using Seurat.
Full pipeline available on GitHub.
WHAT I NEED FROM YOU:
- 10X Genomics output files (barcodes, features, matrix)
OR processed count matrix
- Organism name (human, mouse, etc.)
- Any known biology about your sample
TOOLS: R, Seurat, ggplot2, dplyr, UMAP,
PCA, Git, Linux
Send me a message before ordering to discuss
your dataset. I will confirm feasibility first.
Expertise:
Classification
•
Clustering
•
Predictive analysis
Programming language:
Python
•
R
Frameworks:
Panda
APIs:
Other
Tools:
Jupyter Notebook
•
Colab

