https://github.com/BatzoglouLabSU/SIMLR

Implementations in both Matlab and R of the SIMLR method. The manuscript of the method is available at: https://www.nature.com/articles/nmeth.4207
https://github.com/BatzoglouLabSU/SIMLR

Last synced: 23 days ago
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Implementations in both Matlab and R of the SIMLR method. The manuscript of the method is available at: https://www.nature.com/articles/nmeth.4207

• Host: GitHub
• URL: https://github.com/BatzoglouLabSU/SIMLR
• Owner: BatzoglouLabSU
• License: gpl-3.0
• Created: 2016-05-13T02:29:57.000Z (about 8 years ago)
• Default Branch: SIMLR
• Last Pushed: 2024-05-07T18:33:18.000Z (about 2 months ago)
• Last Synced: 2024-05-21T12:13:41.472Z (about 1 month ago)
• Language: MATLAB
• Homepage: https://batzogloulabsu.github.io/SIMLR/
• Size: 786 MB
• Stars: 106
• Watchers: 16
• Forks: 58
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome_single_cell - SIMLR - [R, matlab] - SIMLR (Single-cell Interpretation via Multi-kernel LeaRning) learns an appropriate distance metric from the data for dimension reduction, clustering and visualization. SIMLR is capable of separating known subpopulations more accurately in single-cell data sets than do existing dimension reduction methods. (Software packages / RNA-seq)
• awesome-single-cell - SIMLR - [R, matlab] - SIMLR (Single-cell Interpretation via Multi-kernel LeaRning) learns an appropriate distance metric from the data for dimension reduction, clustering and visualization. SIMLR is capable of separating known subpopulations more accurately in single-cell data sets than do existing dimension reduction methods. (Software packages / RNA-seq)
• awesome-single-cell - SIMLR - [R, matlab] - SIMLR (Single-cell Interpretation via Multi-kernel LeaRning) learns an appropriate distance metric from the data for dimension reduction, clustering and visualization. SIMLR is capable of separating known subpopulations more accurately in single-cell data sets than do existing dimension reduction methods. (Software packages / RNA-seq)