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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 "NetInt" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'NetInt: Methods for Unweighted and Weighted Network Integration'
version: 1.0.2
doi: 10.1016/j.artmed.2014.03.003
identifiers:
- type: doi
  value: 10.32614/CRAN.package.NetInt
abstract: Implementation of network integration approaches comprising unweighted and
  weighted integration methods. Unweighted integration is performed considering the
  average, per-edge average, maximum and minimum of networks edges. Weighted integration
  takes into account a weight for each network during the fusion process, where the
  weights express the ''predictiveness strength'' of each network considering a specific
  predictive task. Weights can be learned using a machine learning algorithm able
  to associate the weights to the assessment of the accuracy of the learning algorithm
  trained on the network itself. The implemented methods can be applied to effectively
  integrate different biological networks modelling a wide range of problems in bioinformatics
  (e.g. disease gene prioritization, protein function prediction, drug repurposing,
  clinical outcome prediction).
authors:
- family-names: Valentini
  given-names: Giorgio
  email: valentini@di.unimi.it
- family-names: Gliozzo
  given-names: Jessica
  email: jessica.gliozzo@gmail.com
preferred-citation:
  type: article
  title: An extensive analysis of disease-gene associations using network integration
    and fast kernel-based gene prioritization methods
  authors:
  - name: Valentini
  - name: Giorgio
  - name: Paccanaro
  - name: Alberto
  - name: Caniza
  - name: Horacio
  - name: Romero
  - family-names: E
    given-names: Alfonso
  - name: Re
  - name: Matteo
  journal: Artificial Intelligence in Medicine
  year: '2014'
  volume: '61'
  issue: '2'
  url: https://doi.org/10.1016/j.artmed.2014.03.003
  publisher:
    name: Elsevier
  start: '141'
  doi: 10.1016/j.artmed.2014.03.003
repository: https://gliozzoj.r-universe.dev
commit: 4e8a71180d289839579d874dc6b81187c910123c
date-released: '2026-09-09'
contact:
- family-names: Gliozzo
  given-names: Jessica
  email: jessica.gliozzo@gmail.com