censcyt
Differential abundance analysis with a right censored covariate in high-dimensional cytometry
Bioconductor version: 3.24 · Package version: 1.21.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("censcyt")Details
| Maintainer | Reto Gerber <gerberreto@pm.me> |
| Author | Reto Gerber [aut, cre] (ORCID: <https://orcid.org/0000-0001-5414-8906>) |
| License | MIT + file LICENSE |
| URL | https://github.com/retogerber/censcyt |
| Bug Reports | https://github.com/retogerber/censcyt/issues |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | CellBasedAssays, CellBiology, Clustering, FeatureExtraction, FlowCytometry, ImmunoOncology, Proteomics, SingleCell, Software, Survival |
| Package Short Url | https://bioconductor.org/packages/censcyt/ |
Citation
From within R, enter citation("censcyt"):
Reto Gerber. censcyt: Differential abundance analysis with a right censored covariate in high-dimensional cytometry. doi:10.18129/B9.bioc.censcyt, R package version 1.21.0, https://bioconductor.org/packages/censcyt.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | censcyt_1.21.0.tar.gz |
| Windows binary (x86_64) | censcyt_1.21.0.zip |
| macOS binary (arm64) | censcyt_1.21.0.tgz |
| macOS binary (x86_64) | censcyt_1.21.0.tgz |
Dependencies
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