This is the development version of censcyt; for the stable release version, see censcyt.
Differential abundance analysis with a right censored covariate in high-dimensional cytometryBioconductor version: Development (3.22)
Methods for differential abundance analysis in high-dimensional cytometry data when a covariate is subject to right censoring (e.g. survival time) based on multiple imputation and generalized linear mixed models.
Author: Reto Gerber [aut, cre] ORCID: 0000-0001-5414-8906
Maintainer: Reto Gerber <gerberreto at pm.me>
Citation (from within R, entercitation("censcyt")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("censcyt")
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("censcyt")
Details biocViews CellBasedAssays, CellBiology, Clustering, FeatureExtraction, FlowCytometry, ImmunoOncology, Proteomics, SingleCell, Software, Survival Version 1.17.0 In Bioconductor since BioC 3.13 (R-4.1) (4 years) License MIT + file LICENSE Depends R (>= 4.0), diffcyt Imports BiocParallel, broom.mixed, dirmult, dplyr, edgeR, fitdistrplus, lme4, magrittr, MASS, methods, mice, multcomp, purrr, rlang, S4Vectors, stats, stringr, SummarizedExperiment, survival, tibble, tidyr, utils System Requirements URL https://github.com/retogerber/censcyt Bug Reports https://github.com/retogerber/censcyt/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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