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CTSV

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

Bioconductor version: 3.23 · Package version: 1.14.0

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 rank204
Source branchRELEASE_3_23
biocViewsGeneExpression, Genetics, Regression, Software, Spatial, StatisticalMethod

Documentation

Download

Dependencies

Depends: R (>= 4.2)

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

Suggests: testthat, BiocStyle