CRAN/E | ClussCluster

ClussCluster

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

Installation

About

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and Jun Li, "Simultaneous Detection of Clusters and Cluster-Specific Genes in High-throughput Transcriptome Data" (Unpublished).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.

Key Metrics

Version 0.1.0
R ≥ 2.10.0
Published 2019-07-02 1765 days ago
Needs compilation? no
License GPL-3
CRAN checks ClussCluster results

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Maintainer

Maintainer

Li Jun

jun.li@nd.edu

Authors

Li Jun

cre

Jiang Ge

aut

Wang Chuanqi

ctb

Material

README
Reference manual
Package source

Vignettes

ClussCluster

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 2.10.0

Imports

stats ≥ 3.5.0
utils ≥ 3.5.0
VennDiagram
scales ≥1.0.0
reshape2 ≥ 1.4.3
ggplot2 ≥ 3.1.0
rlang ≥0.3.4

Suggests

knitr
rmarkdown ≥ 1.13