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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "MultiSEp" in publications use:'
type: software
license: LGPL-2.0-only
title: 'MultiSEp: Predict Synthetic Lethality and Other Gene Dependency Relationships
  from Multiomics Data'
version: 4.1.3
doi: 10.32614/CRAN.package.MultiSEp
abstract: Predicts gene dependency relationships (GDRs) from functional genomics data.
  Regularised Gaussian mixture modelling may be applied for unsupervised clustering
  in addition to other data partitioning strategies. GDR analysis tools include discovery
  of synthetic lethal relationships and predicting population coverage for candidate
  drug targets from cancer patient mutational profiles. Functionality for visualisation
  is also available. 'MultiSEp' is applicable to data from a variety of sources including
  clinical cohorts, organoids and cell lines.
authors:
- family-names: McKie
  given-names: Adeline
- family-names: Wappett
  given-names: Mark
- family-names: Overton
  given-names: Ian
  email: i.overton@qub.ac.uk
repository: https://ianoverton.r-universe.dev
commit: 704d059e704b80de65a6c6d1125c2e48a0c284e9
date-released: '2026-08-27'
contact:
- family-names: Overton
  given-names: Ian
  email: i.overton@qub.ac.uk