Skip to content

R Notebooks for Hurskainen & Mizikova et al., 2020

Notifications You must be signed in to change notification settings

dpcook/thebaud_lung_BPD

Repository files navigation

thebaud_lung_BPD

R Notebooks for Hurskainen & Mizikova et al., 2020

Raw UMI counts and associated metadata is available at the GEO accession GSE151974. Don't hesitate to contact me at david.cook [at] uottawa.ca for access to processed seurat objects or with any questions about the scripts.

A little messy at the moment, but the general ordering here is the following:

  1. processing.Rmd - Demultiplexing, QC
  2. differential_state_analysis.Rmd - Performs initial integration and a global DSA (though subset-specific DSA after pruning doublets is used for the paper-see below)
  3. Each of the individual subset_xxx.Rmd scripts - generates major subsets, prunes doublets, DSA
  4. cluster_annotations.Rmd - Brings back doublet-pruned, high-resolution clustered data from each subset into a single seurat object and manually adds cell type labels
  5. cell_communication.Rmd - NicheNet analysis

About

R Notebooks for Hurskainen & Mizikova et al., 2020

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published