Skip to main content

SpaMosaic: Mosaic Integration of Spatial Multi-omics

Reason this release was yanked:

wrong dependence

Project description

SpaMosaic

SpaMosaic is a Python package for spatial multi-omics data integration using contrastive learning and graph neural networks. It supports integration of partially overlapping modalities and facilitates downstream analyses such as spatial domain identification and modality imputation.


🔧 Features

  • Horizontal integration: integrates multiple slices within a single modality
  • Vertical integration: integrates multiple modalities measured from the same slice
  • Mosaic integration: integrates multiple slices with overallping modalities
  • Imputation: imputes expression profiles of missing omics

🚀 Installation

We recommend using Python 3.8+ and a Conda environment:

pip install spamosaic

📚 Documentation

📖 Full tutorials and API reference: 👉 https://spamosaic.readthedocs.io

📄 License

SpaMosaic is released under the MIT License. © 2025 Jinmiao Lab

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

spamosaic-1.0.2.tar.gz (37.8 kB view details)

Uploaded Source

Built Distribution

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

spamosaic-1.0.2-py3-none-any.whl (25.2 kB view details)

Uploaded Python 3

File details

Details for the file spamosaic-1.0.2.tar.gz.

File metadata

  • Download URL: spamosaic-1.0.2.tar.gz
  • Upload date:
  • Size: 37.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.18

File hashes

Hashes for spamosaic-1.0.2.tar.gz
Algorithm Hash digest
SHA256 57bdc63ae7e1dabfa4fa5eac6721e7567b81f05aa1d802f4388db708c01c6152
MD5 5e4c523eec9ae6131d6f5f164e7dce28
BLAKE2b-256 40a12827823e1d5155f8a9f884453d15ac12a7d70cd45e32b4a6fc75367add0c

See more details on using hashes here.

File details

Details for the file spamosaic-1.0.2-py3-none-any.whl.

File metadata

  • Download URL: spamosaic-1.0.2-py3-none-any.whl
  • Upload date:
  • Size: 25.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.18

File hashes

Hashes for spamosaic-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 539ef276f824382cf57b28e57d711788e0102ae780dd6a40a557927477b02a7b
MD5 7eb10c5b700a3d9eefc430653ee9a6a6
BLAKE2b-256 37d5f9b7f5310d222ca69db103f929e53747cd7b7d85423458bb60df486cc884

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