Single cell based gene expression prediction models (l-ctPred)

See description in CITE scPredixcan PAPER HERE

See github reo in scPrediXcan github repo

Download models here from Box folder or from Zenodo (for islet cells from T2D dataset) and Zenodo (for immune cells from OneK1K dataset).

About technical problems

As scPrediXcan is a newly-developed tool, there may be some bugs or technical imperfections. If you encounter any issues while using scPrediXcan, please don’t hesitate to reach out to Charles at yichaozhou@uchicago.edu. We greatly appreciate your feedback and are committed to improving the tool to make it more user-friendly!

References

scPredixcan paper here

Reuse

Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The source code is licensed under MIT.

Suggest changes

If you find any mistakes (including typos) or want to suggest changes, please feel free to edit the source file of this page on Github and create a pull request.

Citation

For attribution, please cite this work as

Charles Zhou (2024). scPrediXcan prediction models. PredictDB. /post/2024/10/14/scpredixcan-prediction-models/

BibTeX citation

@misc{
  title = "scPrediXcan prediction models",
  author = "Charles Zhou",
  year = "2024",
  journal = "PredictDB",
  note = "/post/2024/10/14/scpredixcan-prediction-models/"
}