SamSPECTRAL

"SamSPECTRAL" is an algorithm designed to enhance the clustering of large, multidimensional datasets, which is crucial for advancing understanding in various biological fields. Spectral clustering, known for its effectiveness in numerous applications, traditionally faces challenges with large datasets due to significant time and memory demands. SamSPECTRAL addresses these limitations by integrating an information-preserving sampling procedure with a post-processing stage, making spectral clustering feasible for extensive datasets.

Topic

Cell biology

Detail

  • Operation: Spectral analysis

  • Software interface: Command-line user interface,Library

  • Language: R

  • License: GNU General Public License, version 2

  • Cost: Free

  • Version name: 1.56.0

  • Credit: NIH, the Michael Smith Foundation for Health Research, the National Science and Engineering Research Council, the MITACS Network of Centres of Excellence.

  • Input: -

  • Output: -

  • Contact: Habil zare@u.washington.edu

  • Collection: -

  • Maturity: Stable

Publications

  • Data reduction for spectral clustering to analyze high throughput flow cytometry data.
  • Zare H, et al. Data reduction for spectral clustering to analyze high throughput flow cytometry data. Data reduction for spectral clustering to analyze high throughput flow cytometry data. 2010; 11:403. doi: 10.1186/1471-2105-11-403
  • https://doi.org/10.1186/1471-2105-11-403
  • PMID: 20667133
  • PMC: PMC2923634

Download and documentation

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