pegasus.log_norm¶
-
pegasus.
log_norm
(data, norm_count=100000.0, backup_matrix='raw.X')[source]¶ Normalization, and then apply natural logarithm to the data.
- Parameters
data (
pegasusio.MultimodalData
) – Use current selected modality in data, which should contain one RNA expression matrix.norm_count (
int
, optional, default:1e5
.) – Total count of cells after normalization.backup_matrix (
str
, optional, default:raw.X
.) – Where to back up the count matrix.
- Return type
None
- Returns
None
Update
data.X
with count matrix after log-normalization. In addition, back up the original count matrix asbackup_matrix
.
Examples
>>> pg.log_norm(data)