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Case studies for our manuscript on differential detection workflows

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Differential detection project: case study

This repository contains the code associated with the case studies from our paper "Differential detection workflows for multi-sample single-cell RNA-seq data" (TODO: add link).

COVID case study

The COVID dataset from Stephenson et al. (2021) can be downloaded programatically by running the first script of the Covid case study, 1_CovidCase_getdata.Rmd.

Alternatively, if you would like to avoid downloading these data, you can download intermediate data objects from Zenodo (TODO: add link) and place these in the Covid/objects/ directory. The file sce_Covid_Bcells.rds allows you to start the analysis from script 2_CovidCase_DGE.Rmd. Downloading the four other files from Zenodo and placing these in the objects directory allows you to start the analysis from scrip 4_CovidCase_downstream.Rmd.

Lupus case study

The Lupus data from Perez et al. (2021) can be downloaded from GEO using accession number GSE174188. To run the case study code from start to end, download the GSE174188_CLUES1_adjusted.h5ad.gz file and place it in the Lupus/data-raw/ directory. Next, run the scripts 00-anndata-to-SCE.R, 01_lupus_prepare.Rmd and 02_lupus_case.Rmd in order.

Alternatively, if you would like to avoid downloading GSE174188_CLUES1_adjusted.h5ad.gz (11.7Gb), you can download intermediate data objects from Zenodo (TODO: add link) and place these in the Lupus/objects/ directory. The file lupus-SCE-cleaned.rds allows you to start the analysis from script 01_lupus_prepare.Rmd, the file sce_sep_filt.rds allows you to start the analysis from script 02_lupus_case.Rmd.

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