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panoramic

This is the development version of panoramic; to use it, please install the devel version of Bioconductor.

Variance-Aware Multi-Sample Spatial Colocalization Analysis


Bioconductor version: Development (3.24)

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.

Author: Jacob Chang [aut, cre, fnd] ORCID iD ORCID: 0000-0002-3719-7949

Maintainer: Jacob Chang <jachang4 at stanford.edu>

Citation (from within R, enter citation("panoramic")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("panoramic")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("panoramic")
PANORAMIC tutorial HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews SingleCell, Software, Spatial
Version 0.99.4
In Bioconductor since BioC 3.24 (R-4.6)
License MIT + file LICENSE
Depends R (>= 4.6)
Imports dplyr, ggplot2, ggrepel, igraph, tidygraph, ggraph, rlang, S4Vectors, SummarizedExperiment, spatstat.geom, spatstat.explore, BiocParallel, SpatialExperiment, concaveman, metafor, withr, matrixStats
System Requirements
URL https://github.com/plevritis-lab/panoramic
Bug Reports https://github.com/plevritis-lab/panoramic/issues
See More
Suggests knitr, markdown, rmarkdown, BiocStyle, testthat (>= 3.0.0)
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Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package panoramic_0.99.4.tar.gz
Windows Binary (x86_64) panoramic_0.99.4.zip
macOS Binary (big-sur-x86_64) panoramic_0.99.4.tgz
macOS Binary (sonoma-arm64) panoramic_0.99.4.tgz
Source Repository git clone https://git.bioconductor.org/packages/panoramic
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/panoramic
Bioc Package Browser https://code.bioconductor.org/browse/panoramic/
Package Short Url https://bioconductor.org/packages/panoramic/
Package Downloads Report Download Stats