Closed davidsebfischer closed 2 years ago
The corresponding schema in cellxgene is documented here https://github.com/chanzuckerberg/cellxgene/blob/345306ef7b2acc23731583a0f318a37269089efd/dev_docs/schema_guide.md
uns:
version:
corpora_schema_version: 1.0.0
corpora_encoding_version: 0.1.0
contributors:
title:
layer_descriptions:
preprint_doi:
publication_doi:
organism_ontology_term_id:
obs:
tissue_ontology_term_id:
assay_ontology_term_id:
disease_ontology_term_id:
cell_type_ontology_term_id:
sex:
ethnicity_ontology_term_id:
development_stage_ontology_term_id:
We will try to use ontologies where possible for meta data. The suggested ontologies are:
general:
human:
mouse:
per dataset: .uns and accessible in lazy mode
per cell: .obs and accessible in lazy mode as list of unique entries (these are .obs attributes that can be represented as a categorical with a short list of entries)
per cell: .obs and not accessible in lazy mode
@ambrosejcarr happy to get feedback on this