Package: cytoMEM 1.17.0

Jonathan Irish

cytoMEM: Marker Enrichment Modeling (MEM)

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.

Authors:Sierra Lima [aut], Kirsten Diggins [aut], Jonathan Irish [aut, cre]

cytoMEM_1.17.0.tar.gz
cytoMEM_1.17.0.zip(r-4.7)cytoMEM_1.17.0.zip(r-4.6)cytoMEM_1.17.0.zip(r-4.5)
cytoMEM_1.17.0.tgz(r-4.6-any)cytoMEM_1.17.0.tgz(r-4.5-any)
cytoMEM_1.17.0.tar.gz(r-4.7-any)cytoMEM_1.17.0.tar.gz(r-4.6-any)
cytoMEM_1.17.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
cytoMEM/json (API)
NEWS

# Install 'cytoMEM' in R:
install.packages('cytoMEM', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cytolab/cytomem/issues

Datasets:

On BioConductor:cytoMEM-1.17.0(bioc 3.24)cytoMEM-1.16.0(bioc 3.23)

proteomicssystemsbiologyclassificationflowcytometrydatarepresentationdataimportcellbiologysinglecellclustering

5.42 score 4 stars 1 packages 22 scripts 376 downloads 3 exports 20 dependencies

Last updated from:e684e94048. Checks:8 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE154
linux-devel-x86_64NOTE168
source / vignettesOK198
linux-release-x86_64NOTE249
macos-release-arm64NOTE110
macos-oldrel-arm64NOTE98
windows-develNOTE126
windows-releaseNOTE92
windows-oldrelNOTE123
wasm-releaseOK122

Exports:build_heatmapsMEMMEM_RMSD

Dependencies:BHBiobaseBiocGenericsbiocmakebitopscaToolscpp11cytolibdir.expiryfilelockflowCoregenericsgplotsgtoolsKernSmoothmatrixStatsRcppRhdf5libRProtoBufLibS4Vectors

Intro_to_Marker_Enrichment_Modeling_Analysis

Rendered fromIntro_to_Marker_Enrichment_Modeling_Analysis.Rmdusingknitr::rmarkdownon May 28 2026.

Last update: 2022-03-18
Started: 2022-03-18