Package: mnem Type: Package Title: Mixture Nested Effects Models Version: 1.29.0 Authors@R: person("Martin", "Pirkl", email = "martinpirkl@yahoo.de",role = c("aut", "cre")) Description: Mixture Nested Effects Models (mnem) is an extension of Nested Effects Models and allows for the analysis of single cell perturbation data provided by methods like Perturb-Seq (Dixit et al., 2016) or Crop-Seq (Datlinger et al., 2017). In those experiments each of many cells is perturbed by a knock-down of a specific gene, i.e. several cells are perturbed by a knock-down of gene A, several by a knock-down of gene B, ... and so forth. The observed read-out has to be multi-trait and in the case of the Perturb-/Crop-Seq gene are expression profiles for each cell. mnem uses a mixture model to simultaneously cluster the cell population into k clusters and and infer k networks causally linking the perturbed genes for each cluster. The mixture components are inferred via an expectation maximization algorithm. Depends: R (>= 4.1) License: GPL-3 Encoding: UTF-8 LazyData: true biocViews: Pathways, SystemsBiology, NetworkInference, Network, RNASeq, PooledScreens, SingleCell, CRISPR, ATACSeq, DNASeq, GeneExpression RoxygenNote: 7.3.2 Imports: cluster, graph, Rgraphviz, flexclust, lattice, naturalsort, snowfall, stats4, tsne, methods, graphics, stats, utils, Linnorm, data.table, Rcpp, RcppEigen, matrixStats, grDevices, e1071, ggplot2, wesanderson LinkingTo: Rcpp, RcppEigen VignetteBuilder: knitr Suggests: knitr, devtools, rmarkdown, BiocGenerics, RUnit, epiNEM, BiocStyle NeedsCompilation: yes BugReports: https://github.com/cbg-ethz/mnem/issues URL: https://github.com/cbg-ethz/mnem/ Config/pak/sysreqs: libglpk-dev libxml2-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:50:20 UTC RemoteUrl: https://github.com/bioc/mnem RemoteRef: HEAD RemoteSha: 61de3f64f77bc539d71a68758c10f82ec1d089ee Packaged: 2026-07-03 09:49:33 UTC; root Author: Martin Pirkl [aut, cre] Maintainer: Martin Pirkl