# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "CTSV" in publications use:'
type: software
license: GPL-3.0-only
title: 'CTSV: Identification of cell-type-specific spatially variable genes accounting
  for excess zeros'
version: 1.7.0
doi: btac457
abstract: 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.
authors:
- family-names: Developer
  given-names: Jinge Yu
  email: yjgruc@ruc.edu.cn
- family-names: Developer
  given-names: Xiangyu Luo
  email: xiangyuluo@ruc.edu.cn
preferred-citation:
  type: article
  title: Identification of Cell-Type-Specific Spatially Variable Genes Accounting
    for Excess Zeros
  authors:
  - family-names: Yu
    given-names: Jinge
  - family-names: Luo
    given-names: Xiangyu
  journal: Bioinformatics
  year: '2022'
  doi: btac457
  url: https://doi.org/10.1093/bioinformatics/btac457
repository: https://bioc.r-universe.dev
repository-code: https://github.com/jingeyu/CTSV
url: https://github.com/jingeyu/CTSV
contact:
- family-names: Developer
  given-names: Jinge Yu
  email: yjgruc@ruc.edu.cn