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CTSV

Identification of cell-type-specific spatially variable genes accounting for excess zeros

Bioconductor version: 3.24 · Package version: 1.15.0

The R package CTSV implements the CTSV approach developed by Jinge Yu and Xiangyu Luo that detects cell-type-specific spatially variable genes accounting for excess zeros. CTSV directly models sparse raw count data through a zero-inflated negative binomial regression model, incorporates cell-type proportions, and performs hypothesis testing based on R package pscl. The package outputs p-values and q-values for genes in each cell type, and CTSV is scalable to datasets with tens of thousands of genes measured on hundreds of spots. CTSV can be installed in Windows, Linux, and Mac OS.

Installation

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

BiocManager::install("CTSV")

Details

MaintainerJinge Yu Developer <yjgruc@ruc.edu.cn>
AuthorJinge Yu Developer [aut, cre], Xiangyu Luo Developer [aut]
LicenseGPL-3
URLhttps://github.com/jingeyu/CTSV
Bug Reportshttps://github.com/jingeyu/CTSV/issues
Downloads rank327
Source branchdevel
biocViewsGeneExpression, Genetics, Regression, Software, Spatial, StatisticalMethod

Documentation

Download

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

Source packageCTSV_1.15.0.tar.gz
Windows binary (x86_64)CTSV_1.15.0.zip
macOS binary (arm64)CTSV_1.15.0.tgz
macOS binary (x86_64)CTSV_1.15.0.tgz
Dependencies

Depends: R (>= 4.2)

Imports: stats, pscl, qvalue, BiocParallel, methods, knitr, SpatialExperiment, SummarizedExperiment

Suggests: testthat, BiocStyle