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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 "mixOmics" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'mixOmics: Omics Data Integration Project'
version: 6.29.0
abstract: 'Multivariate methods are well suited to large omics data sets where the
  number of variables (e.g. genes, proteins, metabolites) is much larger than the
  number of samples (patients, cells, mice). They have the appealing properties of
  reducing the dimension of the data by using instrumental variables (components),
  which are defined as combinations of all variables. Those components are then used
  to produce useful graphical outputs that enable better understanding of the relationships
  and correlation structures between the different data sets that are integrated.
  mixOmics offers a wide range of multivariate methods for the exploration and integration
  of biological datasets with a particular focus on variable selection. The package
  proposes several sparse multivariate models we have developed to identify the key
  variables that are highly correlated, and/or explain the biological outcome of interest.
  The data that can be analysed with mixOmics may come from high throughput sequencing
  technologies, such as omics data (transcriptomics, metabolomics, proteomics, metagenomics
  etc) but also beyond the realm of omics (e.g. spectral imaging). The methods implemented
  in mixOmics can also handle missing values without having to delete entire rows
  with missing data. A non exhaustive list of methods include variants of generalised
  Canonical Correlation Analysis, sparse Partial Least Squares and sparse Discriminant
  Analysis. Recently we implemented integrative methods to combine multiple data sets:
  N-integration with variants of Generalised Canonical Correlation Analysis and P-integration
  with variants of multi-group Partial Least Squares.'
authors:
- family-names: Le Cao
  given-names: Kim-Anh
  email: kimanh.lecao@unimelb.edu.au
- family-names: Rohart
  given-names: Florian
- family-names: Gonzalez
  given-names: Ignacio
- family-names: Dejean
  given-names: Sebastien
- family-names: Abadi
  given-names: Al J
  email: al.jal.abadi@gmail.com
preferred-citation:
  type: article
  title: 'mixOmics: An R package for ''omics feature selection and multiple data integration'
  authors:
  - family-names: F
    given-names: Rohart
  - family-names: B
    given-names: Gautier
  - family-names: A
    given-names: Singh
  - family-names: K-A
    given-names: Le Cao
  journal: PLoS computational biology
  volume: '13'
  issue: '11'
  year: '2017'
  publisher:
    name: Public Library of Science
  url: http://www.mixOmics.org
  start: e1005752
repository: https://bioc.r-universe.dev
repository-code: https://github.com/mixOmicsTeam/mixOmics/issues/
url: http://www.mixOmics.org
date-released: '2021-07-15'
contact:
- family-names: Abadi
  given-names: Al J
  email: al.jal.abadi@gmail.com