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
| Maintainer | Jacob Chang <jachang4@stanford.edu> |
| Author | Jacob Chang [aut, cre, fnd] (ORCID: <https://orcid.org/0000-0002-3719-7949>) |
| License | MIT + file LICENSE |
| URL | https://github.com/plevritis-lab/panoramic |
| Bug Reports | https://github.com/plevritis-lab/panoramic/issues |
| Downloads rank | 58 |
| Source branch | devel |
| biocViews | SingleCell, Software, Spatial |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | panoramic_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)