/GloScope_analysis

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Replication Code for the GloScope Paper

This repository contains the code used to generate the figures, simulation experiments, and real-world data applications presented in the following paper:

H. Wang, W. Torous, B. Gong, E. Purdom (2023). Visualizing scRNA-Seq Data at Population Scale with GloScope. bioRxiv.

The R code which generates the paper's figures can be found in Code/Figure. Likewise, the simulations can be rerun with the code in Code/simulation. The folder Code/Process_Datasets contains the steps to transform publicly available scRNA-Seq UMI counts into a Seurat or SingleCellExperiment object with a standardized format. Due to size constraints, the datasets used as input are not included in this repository. There are .txt files in that folder which link to the source of each dataset.
Within Code/Analyze_Datasets, the GloScope methodology is applied to these standardized objects, and the results are compared across datasets.

For further information about the R implementation of the GloScope methodology, visit this GitHub repository.