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concordexR

This is the development version of concordexR; for the stable release version, see concordexR.

Identify Spatial Homogeneous Regions with concordex


Bioconductor version: Development (3.24)

Spatial homogeneous regions (SHRs) in tissues are domains that are homogenous with respect to cell type composition. We present a method for identifying SHRs using spatial transcriptomics data, and demonstrate that it is efficient and effective at finding SHRs for a wide variety of tissue types. concordex relies on analysis of k-nearest-neighbor (kNN) graphs. The tool is also useful for analysis of non-spatial transcriptomics data, and can elucidate the extent of concordance between partitions of cells derived from clustering algorithms, and transcriptomic similarity as represented in kNN graphs.

Author: Kayla Jackson [aut, cre] ORCID iD ORCID: 0000-0001-6483-0108 , A. Sina Booeshaghi [aut] ORCID iD ORCID: 0000-0002-6442-4502 , Angel Galvez-Merchan [aut] ORCID iD ORCID: 0000-0001-7420-8697 , Lambda Moses [aut] ORCID iD ORCID: 0000-0002-7092-9427 , Alexandra Kim [ctb], Laura Luebbert [ctb] ORCID iD ORCID: 0000-0003-1379-2927 , Lior Pachter [aut, rev, ths] ORCID iD ORCID: 0000-0002-9164-6231

Maintainer: Kayla Jackson <kaylajac at caltech.edu>

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

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("concordexR")
concordex-nonspatial HTML R Script
overview HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews Clustering, SingleCell, Software, Spatial, Transcriptomics
Version 1.13.0
In Bioconductor since BioC 3.17 (R-4.3) (3.5 years)
License Artistic-2.0
Depends R (>= 4.5.0)
Imports BiocGenerics, BiocNeighbors, BiocParallel, bluster, cli, DelayedArray, Matrix, methods, purrr, rlang, SingleCellExperiment, sparseMatrixStats, SpatialExperiment, SummarizedExperiment
System Requirements
URL https://github.com/pachterlab/concordexR https://pachterlab.github.io/concordexR/
Bug Reports https://github.com/pachterlab/concordexR/issues
See More
Suggests BiocManager, BiocStyle, ggplot2, glue, knitr, mbkmeans, patchwork, rmarkdown, scater, SFEData, SpatialFeatureExperiment, TENxPBMCData, testthat (>= 3.0.0)
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Package Archives

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

Source Package concordexR_1.13.0.tar.gz
Windows Binary (x86_64) concordexR_1.13.0.zip
macOS Binary (big-sur-x86_64) concordexR_1.13.0.tgz
macOS Binary (sonoma-arm64) concordexR_1.13.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/concordexR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/concordexR
Bioc Package Browser https://code.bioconductor.org/browse/concordexR/
Package Short Url https://bioconductor.org/packages/concordexR/
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