SOAPy: A package for Spatial-Omics Analysis in Python
Brief Introduction
SOAPy is an integrated toolkit that focuses on addressing spatial heterogeneity. SOAPy contains four data preprocessing modules (“Data Import”, “spatial network”, and “Spatial Domain”), three modules for analyzing spatial expression patterns of genes (“Spatial Variation”, “Spatial Tendency”, and “Spatiotemporal Pattern”), two modules for analyzing the spatial architecture of cells (“Spatial Proximity”, “Spatial Composition”), and two module for analyzing Spatial Communication.
Pipeline
Installation
pip:
pip install SOAPy-st
github:
cd SOAPy-st
python setup.py build
python setup.py install
1 maintainer
Metadata
1 maintainer
Release files for SOAPy-st 1.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| SOAPy_st-1.0.1.tar.gz | 218.8 kB | Without provenance | Details for SOAPy_st-1.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| SOAPy_st-1.0.1-py3-none-any.whl | Python 3 | none | any | Details for SOAPy_st-1.0.1-py3-none-any.whl |
Total release size: 461.7 kB
Release files / SOAPy_st-1.0.1.tar.gz
| Download URL | SOAPy_st-1.0.1.tar.gz |
|---|---|
| Size | 218.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/4.0.2 CPython/3.9.7
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Release files / SOAPy_st-1.0.1-py3-none-any.whl
| Download URL | SOAPy_st-1.0.1-py3-none-any.whl |
|---|---|
| Size | 242.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.7
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Security for SOAPy-st 1.0.1
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