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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "mistyR" in publications use:'
type: software
license: GPL-3.0-only
title: 'mistyR: Multiview Intercellular SpaTial modeling framework'
version: 1.13.0
abstract: mistyR is an implementation of the Multiview Intercellular SpaTialmodeling
  framework (MISTy). MISTy is an explainable machine learning framework for knowledge
  extraction and analysis of single-cell, highly multiplexed, spatially resolved data.
  MISTy facilitates an in-depth understanding of marker interactions by profiling
  the intra- and intercellular relationships. MISTy is a flexible framework able to
  process a custom number of views. Each of these views can describe a different spatial
  context, i.e., define a relationship among the observed expressions of the markers,
  such as intracellular regulation or paracrine regulation, but also, the views can
  also capture cell-type specific relationships, capture relations between functional
  footprints or focus on relations between different anatomical regions. Each MISTy
  view is considered as a potential source of variability in the measured marker expressions.
  Each MISTy view is then analyzed for its contribution to the total expression of
  each marker and is explained in terms of the interactions with other measurements
  that led to the observed contribution.
authors:
- family-names: Tanevski
  given-names: Jovan
  email: jovan.tanevski@uni-heidelberg.de
  orcid: https://orcid.org/0000-0001-7177-1003
preferred-citation:
  type: article
  title: Explainable multiview framework for dissecting spatial relationships from
    highly multiplexed data
  authors:
  - family-names: Tanevski
    given-names: Jovan
    email: jovan.tanevski@uni-heidelberg.de
    orcid: https://orcid.org/0000-0001-7177-1003
  - family-names: Ramirez Flores
    given-names: Ricardo Omar
  - family-names: Gabor
    given-names: Attila
  - family-names: Schapiro
    given-names: Denis
  - family-names: Saez-Rodriguez
    given-names: Julio
  journal: Genome Biology
  volume: '23'
  issue: '97'
  year: '2022'
  url: https://doi.org/10.1186/s13059-022-02663-5
repository: https://bioc.r-universe.dev
repository-code: https://github.com/saezlab/mistyR
url: https://saezlab.github.io/mistyR/
contact:
- family-names: Tanevski
  given-names: Jovan
  email: jovan.tanevski@uni-heidelberg.de
  orcid: https://orcid.org/0000-0001-7177-1003