bioc-issue-bot
commented
2 years ago Hi @jingeyu
Thanks for submitting your package. We are taking a quick look at it and you will hear back from us soon.
The DESCRIPTION file for this package is:
Package: CTSV
Type: Package
Title: Identification of cell-type-specific spatially variable genes
accounting for excess zeros
Version: 0.99.0
Date: 2022-05-09
Authors@R: c(person("Jinge Yu", "Developer", role = c("aut","cre"),email = "yjgruc@ruc.edu.cn"),
person("Xiangyu Luo", "Developer", role = "aut",email = "xiangyuluo@ruc.edu.cn"))
Description: 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.
biocViews: GeneExpression, StatisticalMethod, Regression, Spatial,
Genetics
Depends: R (>= 4.0.0)
Imports: stats, pscl, qvalue, BiocParallel,methods,knitr
Suggests: rmarkdown, testthat
License: GPL-3
RoxygenNote: 7.2.0
Encoding: UTF-8
NeedsCompilation: yes
VignetteBuilder: knitr
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