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Spatial transcriptomics datasets from 10XGenomices (spatial-gene-expression datasets)

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st-visium-datasets

Spatial Transcriptomics Atlas for 10XGenomics datasets in huggingface datasets format :huggingface:

Installation

TODO

Usage

This library provides a common interface for 10XGenomics 'Gene Expression' datasets based on huggingface.

This library provides a single dataset: visium with different configurations

from st_visium_datasets import load_visium_dataset
import torch

ds = load_visium_dataset() # default lodas 'all' config
# or ds = load_visium_dataset("human")

device = torch.device("cuda" if torch.cuda.is_available() else "cpu")

torch_ds = ds.with_format("torch", device=device)
# cf: https://huggingface.co/docs/datasets/v2.15.0/en/use_with_pytorch

Availlable configs

name number_of_spots_under_tissue number_of_genes_detected
all 344961 1651817
human 192976 863878
human-heart 8482 40491
human-lymph-node 8074 48178
human-kidney 5936 18068
human-colorectal 9080 18077
human-skin 3458 18069
human-prostate 14334 68215
human-ovary 15153 77975
human-brain 27696 110543
human-large-intestine 6276 39440
human-spinal-cord 5624 39951
human-cerebellum 4992 17355
human-brain-cerebellum 9984 41163
human-lung 10053 36143
human-breast 38063 217985
human-colon 25771 72225
mouse 151985 787939
mouse-olfactory-bulb 2370 38664
mouse-kidney 6000 57469
mouse-brain 123254 614201
mouse-kidney-brain 2805 19399
mouse-mouse-embryo 12877 38808
mouse-lung-brain 4679 19398

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Spatial transcriptomics datasets from 10XGenomices (spatial-gene-expression datasets)

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