This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see BayesSpace.
Bioconductor version: 3.16
Tools for clustering and enhancing the resolution of spatial gene expression experiments. BayesSpace clusters a low-dimensional representation of the gene expression matrix, incorporating a spatial prior to encourage neighboring spots to cluster together. The method can enhance the resolution of the low-dimensional representation into "sub-spots", for which features such as gene expression or cell type composition can be imputed.
Author: Edward Zhao [aut], Matt Stone [aut, cre], Xing Ren [ctb], Raphael Gottardo [ctb]
Maintainer: Matt Stone <mstone at fredhutch.org>
Citation (from within R,
enter citation("BayesSpace")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("BayesSpace")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BayesSpace")
HTML | R Script | BayesSpace |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | Clustering, DataImport, GeneExpression, ImmunoOncology, SingleCell, Software, Transcriptomics |
Version | 1.8.2 |
In Bioconductor since | BioC 3.12 (R-4.0) (2.5 years) |
License | MIT + file LICENSE |
Depends | R (>= 4.0.0), SingleCellExperiment |
Imports | Rcpp (>= 1.0.4.6), stats, purrr, scater, scran, SummarizedExperiment, coda, rhdf5, S4Vectors, Matrix, assertthat, mclust, RCurl, DirichletReg, xgboost, utils, ggplot2, scales, BiocFileCache, BiocSingular |
LinkingTo | Rcpp, RcppArmadillo, RcppDist, RcppProgress |
Suggests | testthat, knitr, rmarkdown, igraph, spatialLIBD, dplyr, viridis, patchwork, RColorBrewer, Seurat |
SystemRequirements | C++11 |
Enhances | |
URL | edward130603.github.io/BayesSpace |
BugReports | https://github.com/edward130603/BayesSpace/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | BayesSpace_1.8.2.tar.gz |
Windows Binary | BayesSpace_1.8.2.zip (64-bit only) |
macOS Binary (x86_64) | BayesSpace_1.8.2.tgz |
macOS Binary (arm64) | BayesSpace_1.8.2.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/BayesSpace |
Source Repository (Developer Access) | git clone [email protected]:packages/BayesSpace |
Bioc Package Browser | https://code.bioconductor.org/browse/BayesSpace/ |
Package Short Url | https://bioconductor.org/packages/BayesSpace/ |
Package Downloads Report | Download Stats |
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