ECBME-4060-2022-Project-Kaggle-Open-Problems-Multimodal-Single-Cell-Integration

ECBME 4060 (2022) Project by Zachary ABESSERA, Quentin CHAPPAT, Kevin HOFFER-HAWLIK and Crystal SHIN.

Our project is based on the data available from the Kaggle Competition Open Problems - Multimodal Single-Cell Integration and consists in the prediction of protein levels given gene expressions.

We made different models to understand and evaluate how patient-specific, or independent, is the genetic information.

We built 5 different models, available in this repository, and worked on the results of each model for our analyzis.

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
Data		Data
Data-analysis.ipynb		Data-analysis.ipynb
MSE-and-correlation-score-for-PCA-and-Pearson-correlation-per-patient.ipynb		MSE-and-correlation-score-for-PCA-and-Pearson-correlation-per-patient.ipynb
PCA-all.ipynb		PCA-all.ipynb
PCA-per-patient.ipynb		PCA-per-patient.ipynb
Pearson-correlation-all.ipynb		Pearson-correlation-all.ipynb
Pearson-correlation-per-patient.ipynb		Pearson-correlation-per-patient.ipynb
README.md		README.md
Report.pdf		Report.pdf
SVD-and-LightGBM.ipynb		SVD-and-LightGBM.ipynb

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