# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "mnem" in publications use:'
type: software
license: GPL-3.0-only
title: 'mnem: Mixture Nested Effects Models'
version: 1.21.0
abstract: 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.
authors:
- family-names: Pirkl
  given-names: Martin
  email: martinpirkl@yahoo.de
preferred-citation:
  type: article
  title: Single cell network analysis with a mixture of Nested Effects Models.
  authors:
  - family-names: Pirkl
    given-names: Martin
    email: martinpirkl@yahoo.de
  - family-names: Beerenwinkel
    given-names: Niko
  journal: Bioinformatics
  year: '2018'
  issue: '258202'
  url: https://doi.org/10.1093/bioinformatics/bty602
  volume: '34'
repository: https://bioc.r-universe.dev
repository-code: https://github.com/cbg-ethz/mnem
url: https://github.com/cbg-ethz/mnem/
contact:
- family-names: Pirkl
  given-names: Martin
  email: martinpirkl@yahoo.de