iscc.data.estimate_rna

estimate_rna(adata, protocol='10x', batch_key=None, count_model='nb', fit_dropout=None)

Fit RNABatchHyperParams from a real scRNA count matrix (Splatter-style).

Parameters:

Name	Type	Description	Default
adata	AnnData | DataFrame | ndarray	Raw integer counts, cells x genes. (Library-size / dispersion fits assume counts, not log/normalized values.)	required
protocol	str	"10x" or "smartseq3" (aliases accepted). Sets which components are active and supplies priors for the fields counts-only data cannot identify (ambient, doublets).	'10x'
batch_key	str | None	adata.obs column with batch labels. With >=2 batches, sigma_batch and depth_batch_sigma are fit; otherwise they default to 0 (single-batch data).	None
fit_dropout	bool | None	Force dropout fitting on/off. Default: on for 10x, off for Smart-seq3.	None

Returns:

Type	Description
RNAEstimate