scanpy.datasets.visium_sge#
- scanpy.datasets.visium_sge(sample_id='V1_Breast_Cancer_Block_A_Section_1', *, include_hires_tiff=False)[source]#
Processed Visium Spatial Gene Expression data from 10x Genomics’ database.
Deprecated since version 1.11.0: Use
squidpy.datasets.visium()
instead.The database can be browsed online to find the
sample_id
you want.- Parameters:
- sample_id
Literal
['V1_Breast_Cancer_Block_A_Section_1'
,'V1_Breast_Cancer_Block_A_Section_2'
,'V1_Human_Heart'
,'V1_Human_Lymph_Node'
,'V1_Mouse_Kidney'
,'V1_Adult_Mouse_Brain'
,'V1_Mouse_Brain_Sagittal_Posterior'
,'V1_Mouse_Brain_Sagittal_Posterior_Section_2'
,'V1_Mouse_Brain_Sagittal_Anterior'
,'V1_Mouse_Brain_Sagittal_Anterior_Section_2'
,'V1_Human_Brain_Section_1'
,'V1_Human_Brain_Section_2'
,'V1_Adult_Mouse_Brain_Coronal_Section_1'
,'V1_Adult_Mouse_Brain_Coronal_Section_2'
,'Targeted_Visium_Human_Cerebellum_Neuroscience'
,'Parent_Visium_Human_Cerebellum'
,'Targeted_Visium_Human_SpinalCord_Neuroscience'
,'Parent_Visium_Human_SpinalCord'
,'Targeted_Visium_Human_Glioblastoma_Pan_Cancer'
,'Parent_Visium_Human_Glioblastoma'
,'Targeted_Visium_Human_BreastCancer_Immunology'
,'Parent_Visium_Human_BreastCancer'
,'Targeted_Visium_Human_OvarianCancer_Pan_Cancer'
,'Targeted_Visium_Human_OvarianCancer_Immunology'
,'Parent_Visium_Human_OvarianCancer'
,'Targeted_Visium_Human_ColorectalCancer_GeneSignature'
,'Parent_Visium_Human_ColorectalCancer'
] (default:'V1_Breast_Cancer_Block_A_Section_1'
) The ID of the data sample in 10x’s spatial database.
- include_hires_tiff
bool
(default:False
) Download and include the high-resolution tissue image (tiff) in
adata.uns["spatial"][sample_id]["metadata"]["source_image_path"]
.
- sample_id
- Return type:
- Returns:
Annotated data matrix.
Examples
>>> import scanpy as sc >>> sc.datasets.visium_sge(sample_id='V1_Breast_Cancer_Block_A_Section_1') AnnData object with n_obs × n_vars = 3798 × 36601 obs: 'in_tissue', 'array_row', 'array_col' var: 'gene_ids', 'feature_types', 'genome' uns: 'spatial' obsm: 'spatial'