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SC.MEB

SC-MEB: spatial clustering with hidden Markov random field using empirical Bayes

Installation

To install the the packages "SC.MEB", firstly, install the 'devtools' package. Besides, "SC.MEB" depends on the 'Rcpp' and 'RcppArmadillo' package, which also requires appropriate setting of Rtools and Xcode for Windows and Mac OS/X, respectively.

install.packages("devtools")

library(devtools)

install_github("Shufeyangyi2015310117/SC.MEB")

Demonstration

For an example of typical SC.MEB usage, please see our Package vignette for a demonstration and overview of the functions included in SC.MEB.

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Version

Install

install.packages('SC.MEB')

Monthly Downloads

44

Version

1.1

License

GPL-3

Maintainer

Yi Yang

Last Published

October 8th, 2021

Functions in SC.MEB (1.1)

parafun

parafun.
sce

A simulated SingleCellExperiment
selectKPlot

selectKPlot.
selectK

selectK.
spatialPreprocess

Preprocess a spatial dataset for SC-MEB
find_neighbors2

find_neighbors2.
getneighborhood_fast

getneighborhood_fast
PC

simulated PCs
SC.MEB

SC.MEB.
ICMEM

ICMEM.
ClusterPlot

ClusterPlot.