Skip to main content

Multi-omic single-cell optimal transport tools

Project description

PyPI Downloads CI pre-commit.ci status Coverage Documentation

moscot - multi-omic single-cell optimal transport tools

moscot is a scalable framework for Optimal Transport (OT) applications in single-cell genomics. It can be used for

  • trajectory inference (incorporating spatial and lineage information)

  • mapping cells to their spatial organisation

  • aligning spatial transcriptomics slides

  • translating modalities

  • prototyping of new OT models in single-cell genomics

moscot is powered by OTT which is a JAX-based Optimal Transport toolkit that supports just-in-time compilation, GPU acceleration, automatic differentiation and linear memory complexity for OT problems.

Installation

You can install moscot via:

pip install moscot

In order to install moscot from in editable mode, run:

git clone https://github.com/theislab/moscot
cd moscot
pip install -e .

For further instructions how to install jax, please refer to https://github.com/google/jax.

Resources

Please have a look at our documentation

Reference

Our preprint “Mapping cells through time and space with moscot” can be found here.

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

moscot-0.3.4.tar.gz (118.0 kB view details)

Uploaded Source

Built Distribution

moscot-0.3.4-py3-none-any.whl (141.9 kB view details)

Uploaded Python 3

File details

Details for the file moscot-0.3.4.tar.gz.

File metadata

  • Download URL: moscot-0.3.4.tar.gz
  • Upload date:
  • Size: 118.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for moscot-0.3.4.tar.gz
Algorithm Hash digest
SHA256 438b9ee5a619b21e554573bd61d30d2db331a493cab875289fceb09952a711e7
MD5 94f79b8f6dfe40c5112532b2c20eec84
BLAKE2b-256 1f5554fa750074a786dd0f6849c67976bcd1b0da50cbe44191c38471bea50dcb

See more details on using hashes here.

File details

Details for the file moscot-0.3.4-py3-none-any.whl.

File metadata

  • Download URL: moscot-0.3.4-py3-none-any.whl
  • Upload date:
  • Size: 141.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for moscot-0.3.4-py3-none-any.whl
Algorithm Hash digest
SHA256 3c830ca524b26a61da094a09603bfb3bf91d8ce0b0104c1022d211313c30218c
MD5 c2af29e28d24ff7f356a4425546c9d26
BLAKE2b-256 81643cdec9f9d4eb48a0e14f3f1f991580770fb1fa52123488dbf110ad6a9e18

See more details on using hashes here.

Supported by

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