A benchmark of existing gene co-expression estimator on scRNA-seq data.
- Our paper is published at Journal of Machine Learning for Modeling and Computing: https://doi.org/10.1615/JMachLearnModelComput.2023047230
- Biorxiv version: https://doi.org/10.1101/2023.01.24.525447.
If you have questions or find any problems with our codes, feel free to submit issues or send emails to Jiaqi ([email protected]).
Please refer to here for running environment configuration and package installation guides.
Codes for data preparation are provided in the DataPreparation directory. Check this for more details.
There is no need to re-run all the pre-processing scripts, you can download all the data used in this study from here. It should be unzipped and put in the project root directory.
Benchmark codes are provided in the Benchmark directory. Check this for more details.
Codes for plotting figure in our paper are provided in the Plotting directory. Check this for more details.
Experiment results of our study are available here. It should be unzipped and put in the project root directory.
All the figures can be dwnloaded from here