Bioconductor version: Release (3.14)
The spatialHeatmap package provides functionalities for visualizing cell-, tissue- and organ-specific data of biological assays by coloring the corresponding spatial features defined in anatomical images according to a numeric color key.
Author: Jianhai Zhang [aut, trl, cre], Jordan Hayes [aut], Le Zhang [aut], Bing Yang [aut], Wolf Frommer [aut], Julia Bailey-Serres [aut], Thomas Girke [aut]
Maintainer: Jianhai Zhang <jianhai.zhang at email.ucr.edu>
Citation (from within R,
enter citation("spatialHeatmap")
):
To install this package, start R (version "4.1") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("spatialHeatmap")
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("spatialHeatmap")
HTML | R Script | spatialHeatmap: Visualizing Spatial Assays in Anatomical Images and Network Graphs |
Reference Manual | ||
Text | NEWS |
Follow Installation instructions to use this package in your R session.
Source Package | spatialHeatmap_2.0.0.tar.gz |
Windows Binary | spatialHeatmap_2.0.0.zip |
macOS 10.13 (High Sierra) | spatialHeatmap_2.0.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/spatialHeatmap |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/spatialHeatmap |
Package Short Url | https://bioconductor.org/packages/spatialHeatmap/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.14 | Source Archive |
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