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_idyou 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'