This is the released version of Cepo; for the devel version, see Cepo.
Cepo for the identification of differentially stable genesBioconductor version: Release (3.21)
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.
Author: Hani Jieun Kim [aut, cre] ORCID: 0000-0003-1844-3275 , Kevin Wang [aut] ORCID: 0000-0003-2615-6102
Maintainer: Hani Jieun Kim <hani.kim127 at gmail.com>
Citation (from within R, entercitation("Cepo")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("Cepo")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Cepo")
Cepo method for differential stability analysis of scRNA-seq data HTML R Script Reference Manual PDF NEWS Text LICENSE Text Details biocViews Classification, DifferentialExpression, GeneExpression, Sequencing, SingleCell, Software Version 1.14.0 In Bioconductor since BioC 3.14 (R-4.1) (3.5 years) License MIT + file LICENSE Depends GSEABase, R (>= 4.1) Imports DelayedMatrixStats, DelayedArray, HDF5Array, S4Vectors, methods, SingleCellExperiment, SummarizedExperiment, ggplot2, rlang, grDevices, patchwork, reshape2, BiocParallel, stats, dplyr, purrr System Requirements URL See More Suggests knitr, rmarkdown, BiocStyle, testthat, covr, UpSetR, scater, scMerge, fgsea, escape, pheatmap Linking To Enhances Depends On Me Imports Me scClassify Suggests Me Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
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