Package: SamSPECTRAL
Type: Package
Title: Identifies cell population in flow cytometry data
Version: 1.66.0
Date: 2018-05-31
Author: Habil Zare and Parisa Shooshtari
Maintainer: Habil <zare@u.washington.edu>
Depends: R (>= 3.3.3)
Imports: methods
Description: Samples large data such that spectral clustering is
        possible while preserving density information in edge weights.
        More specifically, given a matrix of coordinates as input,
        SamSPECTRAL first builds the communities to sample the data
        points. Then, it builds a graph and after weighting the edges
        by conductance computation, the graph is passed to a classic
        spectral clustering algorithm to find the spectral clusters.
        The last stage of SamSPECTRAL is to combine the spectral
        clusters. The resulting "connected components" estimate
        biological cell populations in the data. See the vignette for
 	more details on how to use this package, some illustrations,
	and simple examples.
License: GPL (>= 2)
LazyLoad: yes
biocViews: FlowCytometry, CellBiology, Clustering, Cancer,
        FlowCytometry, StemCells, HIV, ImmunoOncology
git_url: https://git.bioconductor.org/packages/SamSPECTRAL
git_branch: RELEASE_3_23
git_last_commit: 66b1a8c
git_last_commit_date: 2026-04-28
Repository: Bioconductor 3.23
Date/Publication: 2026-06-02
NeedsCompilation: yes
Packaged: 2026-06-02 21:56:36 UTC; biocbuild
Built: R 4.6.0; x86_64-apple-darwin20; 2026-06-03 14:29:58 UTC; unix
