Cell Annotation Platform

v1
Single-cell multi-omics analysis of the immune response in COVID-19
Single-cell multi-omics analysis of the immune response in COVID-19

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An effort by the Villani, Kharchenko, Gehlenborg, Theis, Marioni, and Regev labs.

Single-cell multi-omics analysis of the immune response in COVID-19

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Cell Metadata

erythrocyte

Ontology Term: erythrocyteCL:0000232
SynonymsTerms that have the same, or nearly the same, meaning as the selected cell type.: RBC, red blood cell
CategoryClass of which the cell type is a subclass.: blood cellCL:0000081
Marker Gene EvidenceGene markers used by researcher to assign this cell annotation.: unknown
Canonical Marker Genes: unknown
Rationale: NA

Inherited from cell_type

Set of Labels Description: Single-cell transcriptome analysis of over 780,000 peripheral blood mononuclear cells from a cross-sectional cohort of 130 patients with varying severities of COVID-19
Annotation Method: both
Algorithm Name: Azimuth
Algorithm Version: v1
Algorithm URL: https://azimuth.hubmapconsortium.org/