Skip to main content

Spatial Omics Analysis in Python

Project description

PyPI Version PyPI downloads Documentation Status

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

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

SOAPy-st-0.1.5.tar.gz (73.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

SOAPy_st-0.1.5-py3-none-any.whl (93.3 kB view details)

Uploaded Python 3

File details

Details for the file SOAPy-st-0.1.5.tar.gz.

File metadata

  • Download URL: SOAPy-st-0.1.5.tar.gz
  • Upload date:
  • Size: 73.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.7

File hashes

Hashes for SOAPy-st-0.1.5.tar.gz
Algorithm Hash digest
SHA256 3494a6cf1b9bbca4c5f396ee6f273540d6e245b2f2cb3f56014df324cb07156e
MD5 e1570d6204155453962d11aa1b7056bb
BLAKE2b-256 368caad31bbb5ad56da395c7761983c7425dd0fb7556d10d3d9b9491267717b2

See more details on using hashes here.

File details

Details for the file SOAPy_st-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: SOAPy_st-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 93.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.7

File hashes

Hashes for SOAPy_st-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 aae80852bab9d9b2ea5a630ff0402d115b1cf0973171ad26c75d274d4f99a3fa
MD5 67c4d2f059620b2d4da2ca5d79124d5b
BLAKE2b-256 c9d842a67874b6dae28b6fb7695a3ba9d8e876a2b979836c9ce5bc11542b7ce6

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page