https://github.com/genepattern/stream.elasticprincipalgraph

Actual creation of the Elastic Principa Graph in the STREAM scRNASeq Trajectory analysis, packaged as a GenePattern module
https://github.com/genepattern/stream.elasticprincipalgraph

genepattern-module rna-seq single-cell

Last synced: 4 months ago
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Actual creation of the Elastic Principa Graph in the STREAM scRNASeq Trajectory analysis, packaged as a GenePattern module

• Host: GitHub
• URL: https://github.com/genepattern/stream.elasticprincipalgraph
• Owner: genepattern
• License: bsd-3-clause
• Created: 2019-08-28T21:50:48.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2020-02-04T17:54:18.000Z (over 6 years ago)
• Last Synced: 2024-12-31T03:13:40.751Z (over 1 year ago)
• Topics: genepattern-module, rna-seq, single-cell
• Language: Python
• Size: 28 MB
• Stars: 0
• Watchers: 7
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# STREAM.ElasticPrincipalGraph

STREAM (Single-cell Trajectories Reconstruction, Exploration And Mapping) is an interactive pipeline capable of disentangling and visualizing complex branching trajectories from both single-cell transcriptomic and epigenomic data. STREAM.ElasticPrincipalGraph is uses elastic principal graph learning to calculate a pseudotime trajectory.

[Full documentation](https://beta.genepattern.org/gp/getTaskDoc.jsp?name=urn:lsid:broad.mit.edu:cancer.software.genepattern.module.analysis:00399:0.2)