Package: ClussCluster 0.1.0

Li Jun

ClussCluster: Simultaneous Detection of Clusters and Cluster-Specific Genes in High-Throughput Transcriptome Data

Implements a new method 'ClussCluster' descried in Ge Jiang and Jun Li, "Simultaneous Detection of Clusters and Cluster-Specific Genes in High-throughput Transcriptome Data" (Unpublished). Simultaneously perform clustering analysis and signature gene selection on high-dimensional transcriptome data sets. To do so, 'ClussCluster' incorporates a Lasso-type regularization penalty term to the objective function of K- means so that cell-type-specific signature genes can be identified while clustering the cells.

Authors:Li Jun [cre], Jiang Ge [aut], Wang Chuanqi [ctb]

ClussCluster_0.1.0.tar.gz
ClussCluster_0.1.0.tar.gz(r-4.5-noble)ClussCluster_0.1.0.tar.gz(r-4.4-noble)
ClussCluster_0.1.0.tgz(r-4.4-emscripten)ClussCluster_0.1.0.tgz(r-4.3-emscripten)
ClussCluster.pdf |ClussCluster.html
ClussCluster/json (API)

# Install 'ClussCluster' in R:
install.packages('ClussCluster', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • Hou_sim - A truncated subset of the scRNA-seq expression data set from Hou et.al
  • sim_dat - A simulated expression data set.

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 4 scripts 149 downloads 8 exports 38 dependencies

Last updated 5 years agofrom:ac393fec37. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 08 2024
R-4.5-linuxNOTEDec 08 2024

Exports:ClussClusterClussCluster_Gapfilter_geneplot_ClussClusterplot_ClussCluster_Gapprint_ClussClusterprint_ClussCluster_Gaptop.m.hm

Dependencies:clicolorspacefansifarverformatRfutile.loggerfutile.optionsggplot2gluegtableisobandlabelinglambda.rlatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppreshape2rlangscalesstringistringrtibbleutf8vctrsVennDiagramviridisLitewithr

ClussCluster

Rendered fromClussCluster.Rmdusingknitr::rmarkdownon Dec 08 2024.

Last update: 2019-07-02
Started: 2019-07-02