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https://broadinstitute.github.io/wot/
A software package for analyzing snapshots of developmental processes
https://broadinstitute.github.io/wot/
optimal-transport rna-seq single-cell time-series trajectory
Last synced: 23 days ago
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A software package for analyzing snapshots of developmental processes
- Host: GitHub
- URL: https://broadinstitute.github.io/wot/
- Owner: broadinstitute
- License: bsd-3-clause
- Created: 2017-10-18T15:48:53.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2022-09-15T23:12:26.000Z (almost 2 years ago)
- Last Synced: 2024-04-24T19:49:39.463Z (2 months ago)
- Topics: optimal-transport, rna-seq, single-cell, time-series, trajectory
- Language: Jupyter Notebook
- Homepage: https://broadinstitute.github.io/wot/
- Size: 96.5 MB
- Stars: 132
- Watchers: 12
- Forks: 34
- Open Issues: 35
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Metadata Files:
- Readme: README.md
- License: LICENSE
Lists
- awesome_single_cell - WOT - Waddington Optimal Transport (wot) uses time-course data to infer how the probability distribution of cells in gene-expression space evolves over time, by using the mathematical approach of optimal transport. (Web portals and apps / Web portals)
- awesome-single-cell - WOT - Waddington Optimal Transport (wot) uses time-course data to infer how the probability distribution of cells in gene-expression space evolves over time, by using the mathematical approach of optimal transport. (Web portals, apps, and databases / Web portals and databases)
- awesome-single-cell - WOT - Waddington Optimal Transport (wot) uses time-course data to infer how the probability distribution of cells in gene-expression space evolves over time, by using the mathematical approach of optimal transport. (Web portals, apps, and databases / Web portals and databases)
README
Read the [documentation](http://broadinstitute.github.io/wot).