Package: CTSV 1.15.0

Jinge Yu Developer

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. 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:Jinge Yu Developer [aut, cre], Xiangyu Luo Developer [aut]

CTSV_1.15.0.tar.gz
CTSV_1.15.0.zip(r-4.7)CTSV_1.15.0.zip(r-4.6)CTSV_1.15.0.zip(r-4.5)
CTSV_1.15.0.tgz(r-4.6-any)CTSV_1.15.0.tgz(r-4.5-any)
CTSV_1.15.0.tar.gz(r-4.7-any)CTSV_1.15.0.tar.gz(r-4.6-any)
CTSV_1.15.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
CTSV/json (API)
NEWS

# Install 'CTSV' in R:
install.packages('CTSV', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jingeyu/ctsv/issues

Datasets:

On BioConductor:CTSV-1.15.0(bioc 3.24)CTSV-1.14.0(bioc 3.23)

geneexpressionstatisticalmethodregressionspatialgenetics

4.68 score 4 stars 12 scripts 285 downloads 2 exports 85 dependencies

Last updated from:1e985ac52e. Checks:1 NOTE, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE185
linux-devel-x86_64OK385
source / vignettesOK306
linux-release-x86_64OK364
macos-release-arm64OK198
macos-oldrel-arm64OK200
windows-develOK304
windows-releaseOK316
windows-oldrelOK326
wasm-releaseOK148

Exports:CTSVsvGene

Dependencies:abindaskpassBHBiobaseBiocFileCacheBiocGenericsBiocParallelbitbit64blobcachemclicodetoolscpp11curlDBIdbplyrDelayedArraydplyrevaluatefarverfastmapfilelockformatRfutile.loggerfutile.optionsgenericsGenomicRangesggplot2gluegtablehighrhttr2IRangesisobandknitrlabelinglambda.rlatticelifecyclemagickmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoiseopensslpillarpkgconfigplyrpsclpurrrqvalueR6rappdirsRColorBrewerRcppreshape2rjsonrlangRSQLiteS4ArraysS4VectorsS7scalesSeqinfoSingleCellExperimentsnowSparseArraySpatialExperimentstringistringrSummarizedExperimentsystibbletidyrtidyselectutf8vctrsviridisLitewithrxfunXVectoryaml

Applying CTSV to Spatial Transcriptomics Data

Rendered fromCTSV.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2022-07-09
Started: 2022-01-06