You will get complete transcriptomics ML pipeline
Project details
you will get created a complete transcriptomics pipeline using XGBoost + SHAP for identifying tissue-specific biomarkers.
Features:
• GTEx-compatible
• TMM normalization → RFE → ML models
• 95%+ accuracy
• SHAP explainability (FDA-ready)
• Jupyter notebook ready for Colab
Useful for drug discovery, patient stratification, or diagnostic development.
Features:
• GTEx-compatible
• TMM normalization → RFE → ML models
• 95%+ accuracy
• SHAP explainability (FDA-ready)
• Jupyter notebook ready for Colab
Useful for drug discovery, patient stratification, or diagnostic development.
Machine Learning Tools
pandas, PythonWhat's included $150
These options are included with the project scope.
$150
- Delivery Time 1 day
- Number of Revisions 1
- Number of Model Variations 2
- Number of Scenarios 2
- Number of Graphs/Charts 3
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
Optional add-ons
You can add these on the next page.
Additional Revision
+$10
Additional Model Variation
(+ 1 Day)
+$50
Additional Scenario
(+ 1 Day)
+$50
Additional Graph/Chart
(+ 1 Day)
+$50About Ahmed
Artificial intelligence and Machine learning expertise
Fes, Morocco - 5:12 pm local time
Steps for completing your project
After purchasing the project, send requirements so Ahmed can start the project.
Delivery time starts when Ahmed receives requirements from you.
Ahmed works on your project following the steps below.
Revisions may occur after the delivery date.
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