Robust Multi-Omics Prediction for RNA Expression & Protein Surface Levels

This repository contains the paper, presentation, source code, and tutorial for the RoMOP (Robust Multi-Omics Prediction) project focused on predicting RNA expression from chromatin accessibility data and protein surface levels from gene expression data.

Contents

• paper.pdf - Full paper describing the project and results
• presentation.pdf - Slides summarizing project goals, methods, and key findings
• source_code - Source code for implementing RoMOP models
  • Multiome - Code for Multiome dataset (chromatin accessibility -> gene expression)
  • CITE-seq - Code for CITEseq dataset (gene expression -> protein levels)

Datasets

The datasets used in this project are from the Open Problems in Single Cell Analysis competition on Kaggle.

Citation

If you use this code, please cite our paper:

@article{RoMOP,
  title={Robust Multi-Omics Prediction for RNA Expression \& Protein Surface Levels},
  author={Abessera, Zachary and Chappat, Quentin},
  year={2023}
}

License

This project is licensed under the MIT License