STARmap - Mouse Brain 2

Info

zenodo_spatial/starmap/mouse_brain_2d_zstep15_0
Wang et al. (2018)
2.5 MiB
23-09-2024
4666 cells × 28 genes

Quick links

Source

Used in

• Spatially Variable Genes
  

DATASET ID

zenodo_spatial/starmap/mouse_brain_2d_zstep15_0

REFERENCE

Wang et al. (2018)

SIZE

2.5 MiB

CREATED

23-09-2024

DIMENSIONS

4666 × 28

Description

3D architecture of cell types in visual cortex volumes.

Preview

dataset is an AnnData object with n_obs × n_vars = 4666 × 28 with slots:

• var: feature_name
  
• layers: counts
  
• uns: dataset_description, dataset_id, dataset_name, dataset_organism, dataset_reference, dataset_summary, dataset_url

Reference

Name	Description	Type	Data type	Size
var
feature_name	A human-readable name for the feature, usually a gene symbol.	vector	object	28
layers
counts	Raw counts	sparsematrix	float32	4666 × 28
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

Slot crossref data

dataset.layers['counts']

In R: dataset$layers[["counts"]]

Type: sparsematrix, data type: float32, shape: 4666 × 28

Raw counts

dataset.uns['dataset_description']

In R: dataset$uns[["dataset_description"]]

Type: atomic, data type: str, shape: 1

Long description of the dataset.

dataset.uns['dataset_id']

In R: dataset$uns[["dataset_id"]]

Type: atomic, data type: str, shape: 1

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.

dataset.uns['dataset_name']

In R: dataset$uns[["dataset_name"]]

Type: atomic, data type: str, shape: 1

A human-readable name for the dataset.

dataset.uns['dataset_organism']

In R: dataset$uns[["dataset_organism"]]

Type: atomic, data type: str, shape: 1

The organism of the sample in the dataset.

dataset.uns['dataset_reference']

In R: dataset$uns[["dataset_reference"]]

Type: atomic, data type: str, shape: 1

Bibtex reference of the paper in which the dataset was published.

dataset.uns['dataset_summary']

In R: dataset$uns[["dataset_summary"]]

Type: atomic, data type: str, shape: 1

Short description of the dataset.

dataset.uns['dataset_url']

In R: dataset$uns[["dataset_url"]]

Type: atomic, data type: str, shape: 1

Link to the original source of the dataset.

dataset.var['feature_name']

In R: dataset$var[["feature_name"]]

Type: vector, data type: object, shape: 28

A human-readable name for the feature, usually a gene symbol.

References

Wang, Xiao, William E. Allen, Matthew A. Wright, Emily L. Sylwestrak, Nikolay Samusik, Sam Vesuna, Kathryn Evans, et al. 2018. “Three-Dimensional Intact-Tissue Sequencing of Single-Cell Transcriptional States.” Science 361 (6400). https://doi.org/10.1126/science.aat5691.