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PRECAST
View on CRAN: Click
here
Download and install PRECAST package within the R console
Install from CRAN:
install.packages("PRECAST")
Install from Github:
library("remotes")
install_github("cran/PRECAST")
Install by package version:
library("remotes")
install_version("PRECAST", "1.6.5")
Attach the package and use:
library("PRECAST")
Maintained by
Wei Liu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-22
Latest Update: 2023-08-09
Description:
An efficient data integration method is provided for multiple spatial transcriptomics data with non-cluster-relevant effects such as the complex batch effects. It unifies spatial factor analysis simultaneously with spatial clustering and embedding alignment, requiring only partially shared cell/domain clusters across datasets. More details can be referred to Wei Liu, et al. (2023) .
How to cite:
Wei Liu (2022). PRECAST: Embedding and Clustering with Alignment for Spatial Datasets. R package version 1.6.5, https://cran.r-project.org/web/packages/PRECAST. Accessed 07 Nov. 2024.
Previous versions and publish date:
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Other R packages that PRECAST depends,
imports, suggests or enhances
Complete documentation for PRECAST
Functions, R codes and Examples using
the PRECAST R package
Some associated functions: AddAdjList . AddParSetting . AddTSNE . AddUMAP . Add_embed . CreateiDRSCObject . Human_HK_genes . ICM.EM_structure . IntegrateSpaData . Mouse_HK_genes . PObj . PRECAST . PRECASTObj . SpaPlot . boxPlot . coordinate_rotate . dimPlot . doHeatmap . featurePlot . firstup . getAdj_fixedNumber . getAdj_reg . idrsc . model_set . plot_RGB . plot_scatter . selectIntFeatures . selectModel . volinPlot_real .
Some associated R codes: RcppExports.R . SetClass.R . Visualization.R . global.R . main.R . measures.R . Full PRECAST package functions and examples
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