Package: CTSV 1.9.0

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_1.9.0.tar.gz
CTSV_1.9.0.zip(r-4.5)CTSV_1.9.0.zip(r-4.4)CTSV_1.9.0.zip(r-4.3)
CTSV_1.9.0.tgz(r-4.5-any)CTSV_1.9.0.tgz(r-4.4-any)CTSV_1.9.0.tgz(r-4.3-any)
CTSV_1.9.0.tar.gz(r-4.5-noble)CTSV_1.9.0.tar.gz(r-4.4-noble)
CTSV_1.9.0.tgz(r-4.4-emscripten)CTSV_1.9.0.tgz(r-4.3-emscripten)
CTSV.pdf |CTSV.html
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-1.9.0(bioc 3.21)CTSV-1.8.0(bioc 3.20)

geneexpressionstatisticalmethodregressionspatialgenetics

4.38 score 2 stars 12 scripts 210 downloads 2 exports 94 dependencies

Last updated 5 months agofrom:cd7cd49522. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 17 2025
R-4.5-winOKMar 17 2025
R-4.5-macOKMar 17 2025
R-4.5-linuxOKMar 17 2025
R-4.4-winOKMar 17 2025
R-4.4-macOKMar 17 2025
R-4.4-linuxOKMar 17 2025
R-4.3-winOKMar 17 2025
R-4.3-macOKMar 17 2025

Exports:CTSVsvGene

Dependencies:abindaskpassBHBiobaseBiocFileCacheBiocGenericsBiocParallelbitbit64blobcachemclicodetoolscolorspacecpp11crayoncurlDBIdbplyrDelayedArraydplyrevaluatefansifarverfastmapfilelockformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegtablehighrhttrIRangesisobandjsonliteknitrlabelinglambda.rlatticelifecyclemagickmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplogrplyrpsclpurrrqvalueR6RColorBrewerRcppreshape2rjsonrlangRSQLiteS4ArraysS4VectorsscalesSingleCellExperimentsnowSparseArraySpatialExperimentstringistringrSummarizedExperimentsystibbletidyrtidyselectUCSC.utilsutf8vctrsviridisLitewithrxfunXVectoryaml

Applying CTSV to Spatial Transcriptomics Data

Rendered fromCTSV.Rmdusingknitr::rmarkdownon Mar 17 2025.

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