1k PBMCs

Name	Description	Type	Data type	Size
obs
size_factors	The size factors created by the normalisation method, if any.	vector	float32	1087
var
feature_name	A human-readable name for the feature, usually a gene symbol.	vector	object	15099
hvg	Whether or not the feature is considered to be a 'highly variable gene'	vector	bool	15099
hvg_score	A ranking of the features by hvg.	vector	float64	15099
obsp
knn_connectivities	K nearest neighbors connectivities matrix.	sparsematrix	float32	1087 × 1087
knn_distances	K nearest neighbors distance matrix.	sparsematrix	float64	1087 × 1087
obsm
X_pca	The resulting PCA embedding.	densematrix	float32	1087 × 50
varm
pca_loadings	The PCA loadings matrix.	densematrix	float64	15099 × 50
layers
counts	Raw counts	sparsematrix	float32	1087 × 15099
normalized	Normalised expression values	sparsematrix	float32	1087 × 15099
uns
dataset_description	Long description of the dataset.	atomic	str	1
dataset_id	A unique identifier for the dataset. This is different from the `obs.dataset_id` field, which is the identifier for the dataset from which the cell data is derived.	atomic	str	1
dataset_name	A human-readable name for the dataset.	atomic	str	1
dataset_organism	The organism of the sample in the dataset.	atomic	str	1
dataset_reference	Bibtex reference of the paper in which the dataset was published.	atomic	str	1
dataset_summary	Short description of the dataset.	atomic	str	1
dataset_url	Link to the original source of the dataset.	atomic	str	1
knn	Supplementary K nearest neighbors data.	dict		3
normalization_id	Which normalization was used	atomic	str	1
pca_variance	The PCA variance objects.	dict		2

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