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DR.SC  

Joint Dimension Reduction and Spatial Clustering
View on CRAN: Click here


Download and install DR.SC package within the R console
Install from CRAN:
install.packages("DR.SC")

Install from Github:
library("remotes")
install_github("cran/DR.SC")

Install by package version:
library("remotes")
install_version("DR.SC", "3.5")



Attach the package and use:
library("DR.SC")
Maintained by
Wei Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-19
Latest Update: 2023-08-09
Description:
Joint dimension reduction and spatial clustering is conducted for Single-cell RNA sequencing and spatial transcriptomics data, and more details can be referred to Wei Liu, Xu Liao, Yi Yang, Huazhen Lin, Joe Yeong, Xiang Zhou, Xingjie Shi and Jin Liu. (2022) . 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.
How to cite:
Wei Liu (2021). DR.SC: Joint Dimension Reduction and Spatial Clustering. R package version 3.5, https://cran.r-project.org/web/packages/DR.SC. Accessed 10 May. 2025.
Previous versions and publish date:
2.2 (2021-11-19 08:00), 2.3 (2021-11-21 17:10), 2.4 (2022-01-07 13:12), 2.5 (2022-02-06 04:20), 2.6 (2022-02-23 15:30), 2.7 (2022-02-25 08:50), 2.8 (2022-04-18 17:24), 2.9 (2022-05-27 10:20), 3.0 (2022-11-15 20:30), 3.1 (2023-02-11 10:00), 3.2 (2023-04-19 11:20), 3.3 (2023-08-09 21:00), 3.4 (2024-03-19 09:40)
Other packages that cited DR.SC R package
View DR.SC citation profile
Other R packages that DR.SC depends, imports, suggests or enhances
Complete documentation for DR.SC
Functions, R codes and Examples using the DR.SC R package
Some associated functions: DR.SC.fit . DR.SC . FindSVGs . HCC1 . RunWPCA . drscPlot . genspatialdata . getAdj . getAdj_auto . getAdj_manual . getneighborhood_fast . mbicPlot . read10XVisium . readscRNAseq . selectModel . sp_means_Rcpp . sp_sums_Rcpp . spatialPlotClusters . topSVGs . 
Some associated R codes: RcppExports.R . main.R . sparkx.R . visualizationR.R . zzz.R .  Full DR.SC package functions and examples
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