Package: CTSV 1.9.0
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:
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')) |
Bug tracker:https://github.com/jingeyu/ctsv/issues
- CTSVexample_data - A simulated data set
On BioConductor:CTSV-1.9.0(bioc 3.21)CTSV-1.8.0(bioc 3.20)
geneexpressionstatisticalmethodregressionspatialgenetics
Last updated 2 months agofrom:cd7cd49522. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
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Doc / Vignettes | OK | Dec 17 2024 |
R-4.5-win | OK | Dec 17 2024 |
R-4.5-linux | OK | Dec 17 2024 |
R-4.4-win | OK | Dec 17 2024 |
R-4.4-mac | OK | Dec 17 2024 |
R-4.3-win | OK | Dec 17 2024 |
R-4.3-mac | OK | Dec 17 2024 |
Dependencies:abindaskpassBHBiobaseBiocFileCacheBiocGenericsBiocParallelbitbit64blobcachemclicodetoolscolorspacecpp11crayoncurlDBIdbplyrDelayedArraydplyrevaluatefansifarverfastmapfilelockformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegtablehighrhttrIRangesisobandjsonliteknitrlabelinglambda.rlatticelifecyclemagickmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplogrplyrpsclpurrrqvalueR6RColorBrewerRcppreshape2rjsonrlangRSQLiteS4ArraysS4VectorsscalesSingleCellExperimentsnowSparseArraySpatialExperimentstringistringrSummarizedExperimentsystibbletidyrtidyselectUCSC.utilsutf8vctrsviridisLitewithrxfunXVectoryamlzlibbioc
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Detection of cell-type-specific spatially variable genes | CTSV |
A simulated data set | CTSVexample_data |
Report spatially variable genes | svGene |