https://github.com/dpeerlab/Palantir

Single cell trajectory detection
https://github.com/dpeerlab/Palantir

cell-fate-transitions differentiation diffusion-maps dimensionality-reduction manifold-learning markov-chain scrna-seq scrna-seq-analysis single-cell-genomics trajectory-generation

Last synced: 16 days ago
JSON representation

Single cell trajectory detection

• Host: GitHub
• URL: https://github.com/dpeerlab/Palantir
• Owner: dpeerlab
• License: gpl-2.0
• Created: 2017-11-22T18:25:41.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2024-06-13T20:17:21.000Z (19 days ago)
• Last Synced: 2024-06-14T07:58:18.969Z (18 days ago)
• Topics: cell-fate-transitions, differentiation, diffusion-maps, dimensionality-reduction, manifold-learning, markov-chain, scrna-seq, scrna-seq-analysis, single-cell-genomics, trajectory-generation
• Language: Jupyter Notebook
• Homepage: https://palantir.readthedocs.io
• Size: 55.7 MB
• Stars: 197
• Watchers: 9
• Forks: 45
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome-single-cell - Palantir - [Python] - [Characterization of cell fate probabilities in single-cell data with Palantir](https://www.nature.com/articles/s41587-019-0068-4) (Software packages / Pseudotime and trajectory inference)
• awesome-single-cell - Palantir - [Python] - [Characterization of cell fate probabilities in single-cell data with Palantir](https://www.nature.com/articles/s41587-019-0068-4) (Software packages / RNA-seq)