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r / packages / r-sparsemdc

Implements the algorithm described in Barron, M., and Li, J. (Not yet published). This algorithm clusters samples from multiple ordered populations, links the clusters across the conditions and identifies marker genes for these changes. The package was designed for scRNA-Seq data but is also applicable to many other data types, just replace cells with samples and genes with variables. The package also contains functions for estimating the parameters for SparseMDC as outlined in the paper. We recommend that users further select their marker genes using the magnitude of the cluster centers.

Type Size Name Uploaded Downloads Labels
conda 4.7 MB | noarch/r-sparsemdc-0.99.5-r43h142f84f_0.tar.bz2  1 year and 1 month ago 19 main
conda 4.7 MB | noarch/r-sparsemdc-0.99.5-r42h142f84f_0.tar.bz2  2 years and 7 months ago 47 main
conda 4.7 MB | noarch/r-sparsemdc-0.99.5-r36h6115d3f_0.tar.bz2  4 years and 11 months ago 121 main

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