Tooba M.

I turn complex genomic and clinical data into clear, reliable answers: miRNA and RNA-seq biomarker analysis, TCGA/GDC pipelines, and cancer diagnostics research, delivered as reproducible Python code with publication-ready reports. I have developed tissue-of-origin scoring methods for cancer diagnostics, designed batch and kit-effect correction approaches, and compared biomarker signals across different sample types on real patient cohorts. Every project I've completed on Upwork has a 5-star review. What I can do for you miRNA, RNA-seq and NGS analysis: QC, differential expression, biomarker discovery TCGA/GDC and GEO data pipelines, from raw download to final results Cancer signal and tissue-of-origin scoring Batch and kit-effect correction for multi-cohort data Survival analysis, classifiers and machine learning models Fragment-end, motif and cell-free DNA analysis Biomedical knowledge graphs and ontology mapping Genomic and phenotypic data modeling Scientific evaluation of AI and computational outputs Publication-ready figures, methods sections and reports What you receive Clean, documented code (Python, Google Colab or Jupyter) your team can rerun and extend A clear written report explaining what the results mean biologically Fast, clear communication and on-time delivery Who I work with Biotech and diagnostics startups, research groups, and health tech teams who need rigorous analysis without hiring a full-time bioinformatician. Send me a short description of your data and your question. I'll reply within 24 hours with a clear plan, timeline, and price.