Package: Cepo 1.11.2

Hani Jieun Kim

Cepo: Cepo for the identification of differentially stable genes

Defining the identity of a cell is fundamental to understand the heterogeneity of cells to various environmental signals and perturbations. We present Cepo, a new method to explore cell identities from single-cell RNA-sequencing data using differential stability as a new metric to define cell identity genes. Cepo computes cell-type specific gene statistics pertaining to differential stable gene expression.

Authors:Hani Jieun Kim [aut, cre], Kevin Wang [aut]

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Cepo.pdf |Cepo.html
Cepo/json (API)
NEWS

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

Peer review:

Datasets:

On BioConductor:Cepo-1.11.0(bioc 3.20)Cepo-1.10.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

3 exports 1.08 score 97 dependencies 1 dependents 1 mentions

Last updated 16 days agofrom:48144fb8f9

Exports:CepoplotDensitiestopGenes

Dependencies:abindannotateAnnotationDbiaskpassBHBiobaseBiocGenericsBiocParallelBiostringsbitbit64blobcachemclicodetoolscolorspacecpp11crayoncurlDBIDelayedArrayDelayedMatrixStatsdplyrfansifarverfastmapformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegraphGSEABasegtableHDF5ArrayhttrIRangesisobandjsonliteKEGGRESTlabelinglambda.rlatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimemunsellnlmeopensslpatchworkpillarpkgconfigplogrplyrpngpurrrR6RColorBrewerRcppreshape2rhdf5rhdf5filtersRhdf5librlangRSQLiteS4ArraysS4VectorsscalesSingleCellExperimentsnowSparseArraysparseMatrixStatsstringistringrSummarizedExperimentsystibbletidyselectUCSC.utilsutf8vctrsviridisLitewithrXMLxtableXVectorzlibbioc

Cepo for differential stability analysis of scRNA-seq data

Rendered fromcepo.Rmdusingknitr::rmarkdownon Jun 25 2024.

Last update: 2024-06-24
Started: 2020-12-12