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# CITATION 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 "Melissa" in publications use:'
type: software
license: GPL-3.0-only
title: 'Melissa: Bayesian clustering and imputationa of single cell methylomes'
version: 1.21.0
doi: 10.1186/s13059-019-1665-8
abstract: Melissa is a Baysian probabilistic model for jointly clustering and imputing
  single cell methylomes. This is done by taking into account local correlations via
  a Generalised Linear Model approach and global similarities using a mixture modelling
  approach.
authors:
- family-names: Kapourani
  given-names: C. A.
  email: kapouranis.andreas@gmail.com
preferred-citation:
  type: article
  title: 'Melissa: Bayesian clustering and imputation of single cell methylomes'
  authors:
  - family-names: Kapourani
    given-names: Chantriolnt Andreas
  - family-names: Sanguinetti
    given-names: Guido
  journal: Genome Biology
  year: '2019'
  volume: '20'
  issue: '1'
  doi: 10.1186/s13059-019-1665-8
  start: '61'
repository: https://bioc.r-universe.dev
contact:
- family-names: Kapourani
  given-names: C. A.
  email: kapouranis.andreas@gmail.com