No project description provided
Project description
SpatialQuery is a package for fast query of Spatial Transcriptomics data.
Analysis of ST data in SpatialQuery
With annotated ST data as input, SpatialQuery first builds a k-D tree based on spatial location in each FOV for fast query of neighboring cell compositions. It is composed of methods for single-FOV and multiple-FOVs. In single-FOV, it contains methods:
- identify frequent patterns across FOV
- identify frequent patterns around cell type of interest
- identify statistically significant patterns around cell type of interest
For multiple-FOVs data, it contains methods:
- identify frequent patterns around cell type of interest in specified datasets
- identify statistically significant patterns around cell type of interest in specified datasets
- identify differential patterns across datasets
Installation
pip install -i https://test.pypi.org/simple/ SpatialQuery
For more details, please refer to examples/SpatialQuery-example.ipynb.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file spatialquery-0.0.2.tar.gz.
File metadata
- Download URL: spatialquery-0.0.2.tar.gz
- Upload date:
- Size: 21.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4dae046cbf02b54d1dc31e526057e584e75a1c3296282fadd665ea94db59469a
|
|
| MD5 |
a69e111a0e130a1f0faaa723f3232c7c
|
|
| BLAKE2b-256 |
386c3d1931ffb810b6870d4135a61c4e056b2486290d1da99535e67432f61687
|
File details
Details for the file spatialquery-0.0.2-py3-none-any.whl.
File metadata
- Download URL: spatialquery-0.0.2-py3-none-any.whl
- Upload date:
- Size: 22.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1daf1b862748e089fe61d27b4d19171be4a919310d9081cf2ab0e56b1aab97c9
|
|
| MD5 |
acf7ff6150610ed81a0cec42307ac3fc
|
|
| BLAKE2b-256 |
163a457886e86103fc9ad7a88391d2642fda9c78ddbbc402a27d62c243b12813
|