episcanpy.pp.select_var_feature¶
-
episcanpy.pp.
select_var_feature
(adata, max_score=0.5, nb_features=None, show=True, copy=False)¶ This function computes a variability score to rank the most variable features across all cells. Then it selects the most variable features according to either a specified number of features (nb_features) or a minimum variance score (min_score).
- Parameters
- adata : adata object
- max_score : max threshold of the variability score to retain features,
- 0 is the score of the most variable features and 0.5 is the score of the least variable features. : where
- nb_features : default value is None, if specify it will select a the top most variable features.
- the nb_features is larger than the total number of feature, it filters based on the min_score argument : if
- show : default value True, it will plot the distribution of var.
- copy : return a new adata object if copy == True.
- Returns
Depending on
copy
, returns a new AnnData object or overwrite the input