cytoMEM
This is the released version of cytoMEM; for the devel version, see cytoMEM.
All Bioconductor versions of cytoMEM
3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15
Marker Enrichment Modeling (MEM)
Bioconductor version: 3.23 · Package version: 1.16.0
MEM, Marker Enrichment Modeling, automatically generates and displays quantitative labels for cell populations that have been identified from single-cell data. The input for MEM is a dataset that has pre-clustered or pre-gated populations with cells in rows and features in columns. Labels convey a list of measured features and the features' levels of relative enrichment on each population. MEM can be applied to a wide variety of data types and can compare between MEM labels from flow cytometry, mass cytometry, single cell RNA-seq, and spectral flow cytometry using RMSD.
Author: Sierra Lima [aut] 
, Kirsten Diggins [aut] , Jonathan Irish [aut, cre]
Maintainer: Jonathan Irish <jonathan.irish at vanderbilt.edu>
Citation
From within R, enter citation("cytoMEM"):
Sierra Lima, Kirsten Diggins, Jonathan Irish. cytoMEM: Marker Enrichment Modeling (MEM). doi:10.18129/B9.bioc.cytoMEM, R package version 1.16.0, https://bioconductor.org/packages/cytoMEM.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("cytoMEM")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.16.0 |
| License | GPL-3 |
| URL | https://github.com/cytolab/cytoMEM |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.15 (R-4.2) (4 years) |
| Downloads rank | 1800 of 2,418 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | CellBiology, Classification, Clustering, DataImport, DataRepresentation, FlowCytometry, Proteomics, SingleCell, Software, SystemsBiology |
| Package Short Url | https://bioconductor.org/packages/cytoMEM/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("cytoMEM")| Intro_to_Marker_Enrichment_Modeling_Analysis | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | cytoMEM_1.16.0.tar.gz |
| Windows binary (x86_64) | cytoMEM_1.16.0.zip |
| macOS binary (arm64) | cytoMEM_1.16.0.tgz |
| macOS binary (x86_64) | cytoMEM_1.16.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/cytoMEM |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/cytoMEM |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 4.2.0)
Imports: gplots, tools, flowCore, grDevices, stats, utils, matrixStats, methods