cytoMEM
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("cytoMEM")Details
| Maintainer | Jonathan Irish <jonathan.irish@vanderbilt.edu> |
| Author | Sierra Lima [aut] (ORCID: <https://orcid.org/0000-0001-5944-750X>), Kirsten Diggins [aut] (ORCID: <https://orcid.org/0000-0003-1622-0158>), Jonathan Irish [aut, cre] (ORCID: <https://orcid.org/0000-0001-9428-8866>) |
| License | GPL-3 |
| URL | https://github.com/cytolab/cytoMEM |
| Downloads rank | 252 |
| Source branch | RELEASE_3_23 |
| biocViews | CellBiology, Classification, Clustering, DataImport, DataRepresentation, FlowCytometry, Proteomics, SingleCell, Software, SystemsBiology |