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PACE

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

Proximity-Associated Changes in Expression for Spatial Transcriptomics


Bioconductor version: Development (3.24)

PACE (Proximity-Associated Changes in Expression) is a hierarchical empirical Bayes framework that quantifies how a cell's gene expression changes with proximity to specific neighbouring cell types in imaging-based spatial transcriptomics such as Xenium and CosMx. It fits negative binomial mixed models with partial pooling across cell types, corrects for transcript contamination between adjacent cells with a per-cell ambient term, and decomposes expression variance into cell-type identity, spatial cell state, contamination, and residual components. Input and output follow SpatialExperiment conventions.

Author: Elijah Willie [aut, cre] ORCID iD ORCID: 0000-0002-5773-3649 , Shreya Rajesh Rao [aut], John Ormerod [aut], Ellis Patrick [aut], Australian Government Research Training Program [fnd]

Maintainer: Elijah Willie <ewil3501 at uni.sydney.edu.au>

Citation (from within R, enter citation("PACE")):

Elijah Willie, Shreya Rajesh Rao, John Ormerod, Ellis Patrick. PACE: Proximity-Associated Changes in Expression for Spatial Transcriptomics. doi:10.18129/B9.bioc.PACE, R package version 0.99.20, https://bioconductor.org/packages/PACE.

Generated from the package metadata; it may differ from the package's own citation.

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("PACE")

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("PACE")
Comparing proximity effects between conditions HTML
PACE package manual HTML
Reference ManualPDF
NEWSText

Details

biocViews Bayesian, DifferentialExpression, GeneExpression, Regression, SingleCell, Software, Spatial, Transcriptomics
Version0.99.20
In Bioconductor sinceBioC 3.24 (R-4.6)
License GPL-3
Depends R (>= 4.5.0)
Imports methods, stats, utils, Rcpp, Matrix, SpatialExperiment, S4Vectors, SummarizedExperiment, BiocParallel, dplyr, tidyr, tibble, spatstat.geom, MASS, dbscan, lme4, mashr, ashr, ggplot2, patchwork, scales, stringr
System RequirementsGNU GSL
URLhttps://github.com/ecool50/PACE https://ecool50.github.io/PACE
Bug Reportshttps://github.com/ecool50/PACE/issues
See More
Suggests DelayedArray, glmmTMB, broom.mixed, glue, testthat (>= 3.0.0), R6, knitr, rmarkdown, BiocStyle
Linking To Rcpp, RcppEigen
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/PACE
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/PACE
Package Short Url https://bioconductor.org/packages/PACE/
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