jingeyu/CTSV: Identification of cell-type-specific spatially variable genes accounting for excess zeros

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.vThe 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.

Getting started

Package details

AuthorJinge Yu Developer [aut, cre], Xiangyu Luo Developer [aut]
Bioconductor views GeneExpression Genetics Regression Spatial StatisticalMethod
MaintainerJinge Yu Developer <yjgruc@ruc.edu.cn>
LicenseGPL-3
Version0.99.9
URL https://github.com/jingeyu/CTSV
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("jingeyu/CTSV")
jingeyu/CTSV documentation built on July 11, 2022, 4:54 a.m.