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panoramic

Variance-Aware Multi-Sample Spatial Colocalization Analysis

Bioconductor version: 3.24 · Package version: 0.99.3

Quantifies and compares cell-type spatial colocalization across samples, patients, and conditions in spatial omics studies. Its primary statistic, edge-corrected local competition enrichment, measures excess or deficit local mixing for ordered cell-type pairs on a percentage-point scale. The package estimates within-sample uncertainty with spatial bootstrap procedures and propagates it through multilevel random-effects meta-analysis for pooled inference and group-level contrasts; classical spatial summary statistics are also supported.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("panoramic")

Details

MaintainerJacob Chang <jachang4@stanford.edu>
AuthorJacob Chang [aut, cre, fnd] (ORCID: <https://orcid.org/0000-0002-3719-7949>)
LicenseMIT + file LICENSE
URLhttps://github.com/plevritis-lab/panoramic
Bug Reportshttps://github.com/plevritis-lab/panoramic/issues
Downloads rank58
Source branchdevel
biocViewsSingleCell, Software, Spatial

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagepanoramic_0.99.3.tar.gz
Windows binary (x86_64)panoramic_0.99.3.zip
macOS binary (arm64)panoramic_0.99.3.tgz
macOS binary (x86_64)panoramic_0.99.3.tgz
Dependencies

Depends: R (>= 4.5)

Imports: dplyr, ggplot2, ggrepel, igraph, tidygraph, ggraph, rlang, S4Vectors, SummarizedExperiment, spatstat.geom, spatstat.explore, BiocParallel, SpatialExperiment, concaveman, metafor, withr, matrixStats

Suggests: knitr, markdown, rmarkdown, BiocStyle, testthat (>= 3.0.0)