Single-Cell Matrix Service
Build a custom expression matrix from a LungMAP single-cell atlas. Choose an
atlas, narrow it to the cells you want by cell type, library or QC covariate,
then take away either every gene for those cells as an .h5ad, or a
named gene set as a ready-to-cluster matrix. Values are raw
counts throughout; no normalized matrix is stored or returned.
Controlled terms (disease, cell states), underlying studies and statistical methods are defined here.
Species
Narrow the cells
Select an atlas to load its covariates.
Build custom data matrix (.h5ad)
The selected cells and every gene, raw counts in
X, with every metadata column in
obs. Opens directly in scanpy or anndata.
Metadata
Find novel cell states
Builds a UMAP for entered and optionally correlated genes or AI search term using Leiden clustering for one selected cell type and datasets.
no genes entered
Starting…