DOI: 10.18129/B9.bioc.Cepo  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see Cepo.

Cepo for the identification of differentially stable genes

Bioconductor version: 3.16

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] , Kevin Wang [aut]

Maintainer: Hani Jieun Kim <hani.kim127 at gmail.com>

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biocViews Classification, DifferentialExpression, GeneExpression, Sequencing, SingleCell, Software
Version 1.4.0
In Bioconductor since BioC 3.14 (R-4.1) (1.5 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
Suggests knitr, rmarkdown, BiocStyle, testthat, covr, UpSetR, scater, scMerge, fgsea, escape, pheatmap, patchwork
Depends On Me
Imports Me scClassify
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Links To Me
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Source Package Cepo_1.4.0.tar.gz
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