Skip to main content

Geometric inference of cross-species transcriptome correspondence using Gromov–Wasserstein optimal transport.

Project description

Species-OT

Geometric inference of cross-species transcriptome correspondence using Gromov-Wasserstein optimal transport.

fig.png

Installation

$ pip install speciesot

Requirements

  • Python 3.12.7

  • NVIDIA GPUs or Apple Silicon

    Click here to learn how to utilize Apple Silicon's GPUs (official documentation).

Documentation

The tutorial is available here.

Preprint

Please see the following preprint: Y. Tokuta et al. Geometric inference of cross-species transcriptome correspondence using Gromov-Wasserstein optimal transport. bioRxiv

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

speciesot-0.2.7.tar.gz (16.5 kB view details)

Uploaded Source

Built Distribution

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

speciesot-0.2.7-py3-none-any.whl (16.6 kB view details)

Uploaded Python 3

File details

Details for the file speciesot-0.2.7.tar.gz.

File metadata

  • Download URL: speciesot-0.2.7.tar.gz
  • Upload date:
  • Size: 16.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.9.19 Darwin/24.6.0

File hashes

Hashes for speciesot-0.2.7.tar.gz
Algorithm Hash digest
SHA256 a839d49a82c748ca00cb65767b5d06b3ec790b4f36d602f5bead01434f2cb6a3
MD5 d8d16d478901cf0eaf14582713469dbf
BLAKE2b-256 e365c9cc0fab78fa1be7a7ffbbb53d3322049aea73b379872cc910ba7082ba97

See more details on using hashes here.

File details

Details for the file speciesot-0.2.7-py3-none-any.whl.

File metadata

  • Download URL: speciesot-0.2.7-py3-none-any.whl
  • Upload date:
  • Size: 16.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.9.19 Darwin/24.6.0

File hashes

Hashes for speciesot-0.2.7-py3-none-any.whl
Algorithm Hash digest
SHA256 5550025bb28e931623db17df3fdda1c03751b6c38359656e28a76d32f1aab3e1
MD5 728dc6014bf2ca09b0dfc6317a80f059
BLAKE2b-256 24bae6ca8a91739693f512f0ac7bc8b349eed137ee61bb8c71ec7a43e8f725e5

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