Closed dosumis closed 1 month ago
In the lung dataset, https://cellxgene.cziscience.com/e/066943a2-fdac-4b29-b348-40cede398e4e.cxg/, I've used following order for author_cell_type;
Kidney dataset's, https://cellxgene.cziscience.com/e/0b75c598-0893-4216-afe8-5414cab7739d.cxg/, author_cell_type;
Previous iteration recorded type/state abbv/fullname as follows. Might be best to stick with this.
Content | Value Type(s) |
---|---|
cell types | full names, abbreviations |
cell types, cell states | full names, abbreviations |
cell types | abbreviations |
https://docs.google.com/spreadsheets/d/15XFXC7G80wBU2m2lrqahYFJmgriYvJ1Iy79f4JbJonU/edit#gid=0
TO re-use this we would need to map to datasets (not just collections)
Hi @dosumis thanks for adding the google sheet . This google sheet links to another one under the column of Bionetwork reference, I was wondering whether we need those extra informations. happy to had it anyways. I just wanted to double check.
Work in Progress The first page of this spreadsheet has the same structure of the sample data, the second page is an extended version with some more columns
Spec
TSV file.
Columns:
The order of fields for a single dataset determines which author cell type field becomes the primary label in cases where >1 annotation defines the same cell set. fields should be in order of author intended specificity from specific to general. Where full name fields and abbreviation fields are at the same level, fullname should come first.