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-4.4-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'))

Peer review:

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 164 downloads 2 exports 95 dependencies

Last updated 2 months agofrom:cd7cd49522. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 17 2024
R-4.5-winOKDec 17 2024
R-4.5-linuxOKDec 17 2024
R-4.4-winOKDec 17 2024
R-4.4-macOKDec 17 2024
R-4.3-winOKDec 17 2024
R-4.3-macOKDec 17 2024

Exports:CTSVsvGene

Dependencies:abindaskpassBHBiobaseBiocFileCacheBiocGenericsBiocParallelbitbit64blobcachemclicodetoolscolorspacecpp11crayoncurlDBIdbplyrDelayedArraydplyrevaluatefansifarverfastmapfilelockformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegtablehighrhttrIRangesisobandjsonliteknitrlabelinglambda.rlatticelifecyclemagickmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplogrplyrpsclpurrrqvalueR6RColorBrewerRcppreshape2rjsonrlangRSQLiteS4ArraysS4VectorsscalesSingleCellExperimentsnowSparseArraySpatialExperimentstringistringrSummarizedExperimentsystibbletidyrtidyselectUCSC.utilsutf8vctrsviridisLitewithrxfunXVectoryamlzlibbioc

Applying CTSV to Spatial Transcriptomics Data

Rendered fromCTSV.Rmdusingknitr::rmarkdownon Dec 17 2024.

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