I will analyze rna seq and bioinformatics data for biomedical research
Biostatistics
About this Gig
I provide reproducible RNA-seq and gene-expression data analysis using R and Python, with clear interpretation and publication-ready visualizations.
Services may include:
Differential expression analysis (DEG)
Volcano plots, heatmaps, PCA and other visualizations
GO and KEGG enrichment analysis
GSEA pathway analysis
PPI / gene interaction network analysis
GEO dataset retrieval and analysis
Gene-expression and transcriptomic data interpretation
High-resolution, publication-ready figures
Organized result tables and scientific summary
Depending on your data, I can work with count matrices, normalized expression matrices, GEO datasets and other standard transcriptomic formats.
Deliverables can include figures, Excel/CSV result tables, analysis files, scripts and a clear scientific report according to the selected package.
Please contact me before placing an order so I can review your dataset, experimental design and research question and recommend the appropriate analysis package.
Domain:
Natural Language Processing
Expertise:
Classification
•
Clustering
•
Predictive analysis
Programming language:
Python
•
R
Tools:
Jupyter Notebook
•
CVAT
Technology:
Python
•
R
•
SPSS
•
Excel

