Package: SamSPECTRAL
Type: Package
Title: Identifies cell population in flow cytometry data.
Version: 1.30.0
Date: 2009-09-05
Author: Habil Zare and Parisa Shooshtari
Maintainer: Habil Zare <zare@txstate.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 sample. For
        instructions on manual installation, refer to the PDF file
        provided in the following documentation.
License: GPL (>= 2)
LazyLoad: yes
biocViews: FlowCytometry, CellBiology, Clustering, Cancer,
        FlowCytometry, StemCells, HIV
NeedsCompilation: yes
Packaged: 2017-04-24 23:37:08 UTC; biocbuild
Built: R 3.4.0; i386-w64-mingw32; 2017-04-25 07:03:05 UTC; windows
Archs: i386, x64
