scFates.tl.test_association_covariate

scFates.tl.test_association_covariate(adata, group_key, copy=False, **kwargs)

Separately test for associated features for each covariates on the same trajectory path.

Parameters:

adata AnnData

Annotated data matrix.

group_key str

key in .obs for the covariates to test.

copy bool (default: False)

Return a copy instead of writing to adata.

**kwargs

Arguments passed to scFates.tl.test_association()

Returns:

adata : anndata.AnnData if copy=True it returns or else add fields to adata:

.var[‘cov_pval’ or ‘covtrend_pval’]

pvalues extracted from tests.

.var[‘cov_fdr’ or ‘covtrend_fdr’]

FDR extracted from the pvalues.

.var[‘cov_signi’ or ‘covtrend_signi’]

is the feature significant.

.var[‘A->B_lfc’]

logfoldchange in expression between covariate A and B.