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SC.MEB

Spatial Clustering with Hidden Markov Random Field using Empirical Bayes

Installation

About

Spatial clustering with hidden markov random field fitted via EM algorithm, details of which can be found in Yi Yang (2021) doi:10.1101/2021.06.05.447181. It is not only computationally efficient and scalable to the sample size increment, but also is capable of choosing the smoothness parameter and the number of clusters as well.

Key Metrics

Version 1.1
R ≥ 3.5
Published 2021-10-08 979 days ago
Needs compilation? yes
License GPL-3
CRAN checks SC.MEB results

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Maintainer

Maintainer

Yi Yang

Authors

Yi Yang

aut / cre

Xingjie Shi

aut

Jin Liu

aut

Material

README
Reference manual
Package source

Vignettes

SC-MEB
SC-MEB CRC

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

Old Sources

SC.MEB archive

Depends

mclust
parallel
ggplot2
Matrix
R ≥ 3.5

Imports

Rcpp ≥ 1.0.6
SingleCellExperiment
purrr
BiocSingular
SummarizedExperiment
scater
scran
S4Vectors

Suggests

knitr
rmarkdown

LinkingTo

Rcpp
RcppArmadillo