scispy.tl.scis_prop#
- scispy.tl.scis_prop(adata, group_by='scmusk_T4', group_only=None, split_by='anatomy', split_only='', split_by_top=5, replicate='sample', condition='group', condition_order=['CTRL', 'PAH'], test='t-test_ind', figsize=(6, 3))#
Compute per zone celltype proportion between 2 conditions using replicate for statistical testing
- Parameters:
adata (
AnnData) – AnnData object.group_by (
str(default:'scmusk_T4')) – groupgroup_only (
Optional[str] (default:None)) – just plot this groupsplit_by (
str(default:'anatomy')) – x value split_bysplit_only (
str(default:'')) – focus on this split_bysplit_by_top (
int(default:5)) – top split_by to considerreplicate (
str(default:'sample')) – replicate key in adata.obscondition (
str(default:'group')) – condition key in adata.obscondition_order (
tuple(default:['CTRL', 'PAH'])) – tuple of the x conditions to testtest (
str(default:'t-test_ind')) – statistical test to usefigsize (
tuple(default:(6, 3))) – figure size
- Returns: